model_id stringlengths 7 105 | model_card stringlengths 1 130k | model_labels listlengths 2 80k |
|---|---|---|
rajistics/finetuned-indian-food |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-indian-food
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | [
"burger",
"butter_naan",
"kaathi_rolls",
"kadai_paneer",
"kulfi",
"masala_dosa",
"momos",
"paani_puri",
"pakode",
"pav_bhaji",
"pizza",
"samosa",
"chai",
"chapati",
"chole_bhature",
"dal_makhani",
"dhokla",
"fried_rice",
"idli",
"jalebi"
] |
himal/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
Migga/ViT-chess-V4 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViT-chess-V4
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following re... | [
"label_0",
"label_1",
"label_2",
"label_3",
"label_4",
"label_5",
"label_6",
"label_7",
"label_8",
"label_9",
"label_10",
"label_11",
"label_12",
"label_13",
"label_14",
"label_15",
"label_16",
"label_17",
"label_18",
"label_19",
"label_20",
"label_21",
"label_22",
"lab... |
arize-ai/resnet-50-cifar10-quality-drift |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resnet-50-cifar10-quality-drift
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/res... | [
"airplane",
"automobile",
"bird",
"cat",
"deer",
"dog",
"frog",
"horse",
"ship",
"truck"
] |
sudo-s/exper1_mesum5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# exper1_mesum5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/exper2_mesum5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# exper2_mesum5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/exper3_mesum5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# exper3_mesum5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/exper4_mesum5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# exper4_mesum5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/exper6_mesum5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# exper6_mesum5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/exper7_mesum5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# exper7_mesum5
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-p... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/robot22 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robot22
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
sudo-s/modeversion1_m7_e4 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# modeversion1_m7_e4
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-b... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
Isaacks/swin-tiny-patch4-window7-224-finetuned-cars |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-cars
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https... | [
"audi",
"porsche",
"toyota",
"volkswagen"
] |
sudo-s/modeversion2_m7_e8 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# modeversion2_m7_e8
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-b... | [
"0",
"1",
"10",
"100",
"101",
"102",
"103",
"104",
"105",
"106",
"107",
"108",
"109",
"11",
"110",
"111",
"112",
"113",
"114",
"115",
"116",
"117",
"118",
"119",
"12",
"120",
"121",
"122",
"123",
"124",
"125",
"126",
"127",
"128",
"129",
"13",
... |
HaoHu/vit-base-patch16-224-in21k-classify-4scence | train this model on the Contest
the original dataset is
链接: https://pan.baidu.com/s/1pr094NZ2QMj3nLy12gfa6g 密码: kb7a | [
"city_road",
"fog",
"rain",
"snow"
] |
AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vc-bantai-vit-withoutAMBI-adunest
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.... | [
"nonviolation",
"publicdrinking",
"publicsmoking"
] |
rwang5688/vit-base-patch16-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.c... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
fxmarty/resnet-tiny-beans |
A model trained on the beans dataset, just for testing and having a really tiny model.
| [
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest-trial |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vc-bantai-vit-withoutAMBI-adunest-trial
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggin... | [
"nonviolation",
"publicdrinking",
"publicsmoking"
] |
AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest-v1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vc-bantai-vit-withoutAMBI-adunest-v1
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfa... | [
"nonviolation",
"publicdrinking",
"publicsmoking"
] |
AlexKolosov/my_first_model |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_first_model
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the im... | [
"cats",
"dogs"
] |
espejelomar/vit-base-beans |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-beans
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | [
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
platzi/platzi-vit-base-beans-omar-espejel |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# platzi-vit-base-beans
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | [
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
keithanpai/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"akiecf",
"bccf",
"bklf",
"dff",
"melf",
"nvf",
"vascf"
] |
keithanpai/vit-base-patch16-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.c... | [
"akiecf",
"bccf",
"bklf",
"dff",
"melf",
"nvf",
"vascf"
] |
keithanpai/vit-base-patch32-384-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch32-384-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch32-384](https://huggingface.c... | [
"akiecf",
"bccf",
"bklf",
"dff",
"melf",
"nvf",
"vascf"
] |
keithanpai/resnet-50-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resnet-50-finetuned-eurosat
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-... | [
"akiecf",
"bccf",
"bklf",
"dff",
"melf",
"nvf",
"vascf"
] |
keithanpai/tiny-random-vit-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tiny-random-vit-finetuned-eurosat
This model is a fine-tuned version of [hf-internal-testing/tiny-random-vit](https://huggingfac... | [
"akiecf",
"bccf",
"bklf",
"dff",
"melf",
"nvf",
"vascf"
] |
keithanpai/dit-base-finetuned-rvlcdip-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dit-base-finetuned-rvlcdip-finetuned-eurosat
This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https:... | [
"akiecf",
"bccf",
"bklf",
"dff",
"melf",
"nvf",
"vascf"
] |
AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest-v2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vc-bantai-vit-withoutAMBI-adunest-v2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfa... | [
"nonviolation",
"publicdrinking",
"publicsmoking"
] |
arize-ai/resnet-50-fashion-mnist-quality-drift |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resnet-50-fashion-mnist-quality-drift
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microso... | [
"t-shirt",
"trouser",
"pullover",
"dress",
"coat",
"sandal",
"shirt",
"sneaker",
"bag",
"ankle-boot"
] |
alkzar90/croupier-creature-classifier |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# croupier-creature-classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/go... | [
"elf",
"goblin",
"knight",
"zombie"
] |
Chandanab/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"defense_images",
"non_defense images"
] |
AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest-v3 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vc-bantai-vit-withoutAMBI-adunest-v3
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfa... | [
"nonviolation",
"publicdrinking",
"publicsmoking"
] |
woojinSong/my_bean_VIT |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_bean_VIT
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pat... | [
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
fedihch/InvoiceReceiptClassifier |
**InvoiceReceiptClassifier** is a fine-tuned LayoutLMv2 model that classifies a document to an invoice or receipt.
## Quick start: using the raw model
```python
from transformers import (
AutoModelForSequenceClassification,
AutoProcessor,
)
from PIL import Image
from urllib.request import urlopen
model = A... | [
"label_0",
"label_1",
"label_2",
"label_3",
"label_4",
"label_5",
"label_6",
"label_7",
"label_8",
"label_9",
"label_10",
"label_11",
"label_12",
"label_13",
"label_14",
"label_15",
"label_16",
"label_17",
"label_18",
"label_19"
] |
therealcyberlord/stanford-car-vit-patch16 |
# ViT Fine-tuned on Stanford Car Dataset
Base model: https://huggingface.co/google/vit-base-patch16-224
This achieves around 86% on the testing set, you can use it as a baseline for further tuning.
# Dataset Description
The Stanford car dataset contains 16,185 images of 196 classes of cars. Classes are typically ... | [
"dodge ram pickup 3500 crew cab 2010",
"cadillac cts-v sedan 2012",
"buick regal gs 2012",
"daewoo nubira wagon 2002",
"mercedes-benz e-class sedan 2012",
"dodge caravan minivan 1997",
"bentley continental flying spur sedan 2007",
"cadillac srx suv 2012",
"maybach landaulet convertible 2012",
"fia... |
Chandanab/vit-base-patch16-224-in21k-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-patch16-224-in21k-finetuned-eurosat
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://h... | [
"defense_images",
"non_defense images"
] |
Chandanab/deit-tiny-patch16-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deit-tiny-patch16-224-finetuned-eurosat
This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingfa... | [
"defense_images",
"non_defense images"
] |
Chandanab/beit-base-patch16-224-pt22k-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# beit-base-patch16-224-pt22k-finetuned-eurosat
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k](http... | [
"defense_images",
"non_defense images"
] |
ahsanjavid/convnext-tiny-finetuned-cifar10 |
# ConvNext-tiny-finetuned-cifar10 (tiny-sized model)
ConvNeXT model trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [A ConvNet for the 2020s](https://arxiv.org/abs/2201.03545) by Liu et al. and first released in [this repository](https://github.com/facebookresearch/ConvNeXt).
Convnext ti... | [
"airplane",
"automobile",
"bird",
"cat",
"deer",
"dog",
"frog",
"horse",
"ship",
"truck"
] |
fxmarty/levit-256-onnx |
This model is a fork of [facebook/levit-256](https://huggingface.co/facebook/levit-256), where:
* `nn.BatchNorm2d` and `nn.Conv2d` are fused
* `nn.BatchNorm1d` and `nn.Linear` are fused
and the optimized model is converted to the onnx format.
The fusion of layers leverages torch.fx, using the transformations `FuseB... | [
"tench, tinca tinca",
"goldfish, carassius auratus",
"great white shark, white shark, man-eater, man-eating shark, carcharodon carcharias",
"tiger shark, galeocerdo cuvieri",
"hammerhead, hammerhead shark",
"electric ray, crampfish, numbfish, torpedo",
"stingray",
"cock",
"hen",
"ostrich, struthio... |
XC/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
csr2000/UCF_Crime |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# UCF_Crime
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224... | [
"abuse",
"arrest",
"shooting",
"shoplifting",
"stealing",
"vandalism",
"arson",
"assault",
"burglary",
"explosion",
"fighting",
"normalvideos",
"roadaccidents",
"robbery"
] |
diegopetrola/vit-for-kaggle-mayo-clinic |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-for-kaggle-mayo-clinic
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goog... | [
"ce",
"laa"
] |
mrgiraffe/vit-large-dataset-model-v3 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-large-dataset-model-v3
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/goog... | [
"chart",
"notchart"
] |
racheltong/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
Chandanab/mit-b0-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mit-b0-finetuned-eurosat
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the imag... | [
"defense_images",
"non_defense images"
] |
fedihch/InvoiceReceiptClassifier_LayoutLMv3 |
**InvoiceReceiptClassifier_LayoutLMv3** is a fine-tuned LayoutLMv3 model that classifies a document to an invoice or receipt.
## Quick start: using the raw model
```python
from transformers import (
AutoModelForSequenceClassification,
AutoProcessor,
)
from PIL import Image
from urllib.request import urlopen
mo... | [
"label_0",
"label_1",
"label_2",
"label_3",
"label_4",
"label_5",
"label_6",
"label_7",
"label_8",
"label_9",
"label_10",
"label_11",
"label_12",
"label_13",
"label_14",
"label_15",
"label_16",
"label_17",
"label_18",
"label_19"
] |
nicjac/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
farleyknight-org-username/vit-base-mnist |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-mnist
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | [
"0",
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9"
] |
morganchen1007/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"content",
"cover"
] |
farleyknight/vit-base-roman-numeral |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-roman-numeral
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/v... | [
"i",
"ii",
"iii",
"iv",
"ix",
"v",
"vi",
"vii",
"viii",
"x"
] |
marvind434/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"canes",
"nocanes"
] |
Kulinwot/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"afghanistan",
"albania",
"andorra",
"angola",
"argentina",
"armenia",
"australia",
"austria",
"azerbaijan",
"bahamas",
"bahrain",
"bangladesh",
"barbados",
"belarus",
"bhutan",
"bolivia",
"brazil",
"bulgaria",
"cambodia",
"canada",
"capeverde",
"chile",
"china",
"chris... |
liangy2/vit-base-beans |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-beans
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | [
"angular_leaf_spot",
"bean_rust",
"healthy"
] |
jjmcarrascosa/vit_receipts_classifier |
# vit_receipts_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cord, rvl-cdip, visual-genome and an external receipt dataset to carry out Binary Classification (`ticket` vs `no_ticket`).
Ticket here is used as a sy... | [
"ticket",
"no_ticket"
] |
RohanK447/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
JEdward7777/delivery_truck_classification |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# delivery_truck_classification
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface... | [
"dhl",
"empty",
"fedex",
"prime",
"trash",
"unknown",
"ups"
] |
jkson/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
nielsr/swin-tiny-patch4-window7-224-finetuned-eurosat-kornia |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat-kornia
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
djoels/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
morganchen1007/resnet-50-finetuned-resnet50_0831 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# resnet-50-finetuned-resnet50_0831
This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/r... | [
"content",
"cover",
"doi"
] |
DrishtiSharma/finetuned-ViT-human-action-recognition-v1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-ViT-human-action-recognition-v1
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://hugg... | [
"calling",
"clapping",
"running",
"sitting",
"sleeping",
"texting",
"using_laptop",
"cycling",
"dancing",
"drinking",
"eating",
"fighting",
"hugging",
"laughing",
"listening_to_music"
] |
DrishtiSharma/finetuned-ViT-Indian-Food-Classification-v1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-ViT-Indian-Food-Classification-v1
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://hu... | [
"burger",
"butter_naan",
"kaathi_rolls",
"kadai_paneer",
"kulfi",
"masala_dosa",
"momos",
"paani_puri",
"pakode",
"pav_bhaji",
"pizza",
"samosa",
"chai",
"chapati",
"chole_bhature",
"dal_makhani",
"dhokla",
"fried_rice",
"idli",
"jalebi"
] |
Imene/vit-base-patch16-224-in21k-wwwwwi |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-in21k-wwwwwi
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.... | [
"writer_43",
"writer_22",
"zoubir_sirine",
"masouni_maram",
"mekati_aymen",
"maroua_boutraa",
"medjani_yasine",
"mebarek lydia",
"marouf_mohamed",
"meriem",
"massilia",
"menani_rania",
"meriem02",
"yettou",
"madji_zakaria",
"mahdji",
"maalem_abdelmoumene",
"malek_soumia",
"manel"... |
Imene/vit-base-patch16-224-in21k-wwwwii |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-in21k-wwwwii
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.... | [
"writer_2",
"writer_9",
"writer_16",
"writer_11",
"writer_12",
"writer_19",
"writer_15",
"writer_20",
"writer_17",
"writer_18",
"writer_14",
"writer_13",
"writer_10",
"writer_27",
"writer_28",
"writer_22",
"writer_23",
"writer_26",
"writer_25",
"writer_29",
"writer_30",
"wr... |
DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v1 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-SwinT-Indian-Food-Classification-v1
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22... | [
"organism, being",
"benthos",
"heterotroph",
"cell",
"person, individual, someone, somebody, mortal, soul",
"animal, animate_being, beast, brute, creature, fauna",
"plant, flora, plant_life",
"food, nutrient",
"artifact, artefact",
"hop",
"check-in",
"dressage",
"curvet, vaulting",
"piaffe... |
DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v2 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-SwinT-Indian-Food-Classification-v2
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22... | [
"burger",
"butter_naan",
"kaathi_rolls",
"kadai_paneer",
"kulfi",
"masala_dosa",
"momos",
"paani_puri",
"pakode",
"pav_bhaji",
"pizza",
"samosa",
"chai",
"chapati",
"chole_bhature",
"dal_makhani",
"dhokla",
"fried_rice",
"idli",
"jalebi"
] |
Imene/vit-base-patch16-224-in21k-iiii |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-in21k-iiii
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co... | [
"writer_9",
"writer_8",
"writer_6",
"writer_50",
"writer_45",
"writer_4",
"writer_44",
"writer_38",
"writer_46",
"writer_41",
"writer_39",
"writer_40",
"writer_52",
"writer_43",
"writer_42",
"writer_36",
"writer_33",
"writer_31",
"writer_29",
"writer_3",
"writer_32",
"write... |
Zynovia/vit-base-patch16-224-in21k-wwwwii |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Zynovia/vit-base-patch16-224-in21k-wwwwii
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingfac... | [
"writer_2",
"writer_9",
"writer_16",
"writer_11",
"writer_12",
"writer_19",
"writer_15",
"writer_20",
"writer_17",
"writer_18",
"writer_14",
"writer_13",
"writer_10",
"writer_27",
"writer_28",
"writer_22",
"writer_23",
"writer_26",
"writer_25",
"writer_29",
"writer_30",
"wr... |
DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-SwinT-Indian-Food-Classification-v3
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22... | [
"burger",
"butter_naan",
"kaathi_rolls",
"kadai_paneer",
"kulfi",
"masala_dosa",
"momos",
"paani_puri",
"pakode",
"pav_bhaji",
"pizza",
"samosa",
"chai",
"chapati",
"chole_bhature",
"dal_makhani",
"dhokla",
"fried_rice",
"idli",
"jalebi"
] |
DrishtiSharma/finetuned-ViT-Indian-Food-Classification-v3 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned-ViT-Indian-Food-Classification-v3
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://hu... | [
"burger",
"butter_naan",
"kaathi_rolls",
"kadai_paneer",
"kulfi",
"masala_dosa",
"momos",
"paani_puri",
"pakode",
"pav_bhaji",
"pizza",
"samosa",
"chai",
"chapati",
"chole_bhature",
"dal_makhani",
"dhokla",
"fried_rice",
"idli",
"jalebi"
] |
farleyknight/mnist-digit-classification-2022-09-04 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mnist-digit-classification-2022-09-04
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingf... | [
"0",
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9"
] |
farleyknight-org-username/roman-numerals-digit-classification |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roman_numerals-digit-classification-2022-09-04
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https:/... | [
"i",
"ii",
"iii",
"iv",
"ix",
"v",
"vi",
"vii",
"viii",
"x"
] |
Imene/vit-base-patch16-224-in21k-wi2 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-in21k-wi2
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/... | [
"aboubakr_boulechbak",
"addache_fares",
"abaraka_mohamed",
"bensouda_alaa",
"benbaleh_hani",
"belkessa_imane",
"belhous_fahima",
"benguea_amina",
"belmostfaoui_dhrifa",
"belferroum_assin",
"benhaoua_soumia",
"benbekhma_marwa",
"abdelwahab_bardad",
"belkessa_nawel",
"benfradj_imane",
"a... |
Imene/vit-base-patch16-384-wi3 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-384-wi3
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-b... | [
"aboubakr_boulechbak",
"addache_fares",
"abaraka_mohamed",
"bensouda_alaa",
"benbaleh_hani",
"belkessa_imane",
"belhous_fahima",
"benguea_amina",
"belmostfaoui_dhrifa",
"belferroum_assin",
"benhaoua_soumia",
"benbekhma_marwa",
"abdelwahab_bardad",
"belkessa_nawel",
"benfradj_imane",
"a... |
RohanK447/swin-tiny-patch4-window7-224-finetuned-vosap |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-vosap
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](http... | [
"canes",
"nocanes"
] |
Intel/vit-base-patch16-224-int8-static-inc |
# The INT8 model based on vit-base-patch16-224 which finetuned on imagenet-1k
### Post-training static quantization
This is an INT8 PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
The original fp32 model comes from the fine-tuned model [google/vit-base-patch16-... | [
"tench, tinca tinca",
"goldfish, carassius auratus",
"brambling, fringilla montifringilla",
"black swan, cygnus atratus",
"tusker",
"echidna, spiny anteater, anteater",
"platypus, duckbill, duckbilled platypus, duck-billed platypus, ornithorhynchus anatinus",
"wallaby, brush kangaroo",
"koala, koala... |
Imene/vit-base-patch16-384-wi4 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-384-wi4
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-b... | [
"timizar_hakim",
"regoui_amine",
"abd elmadjid raib",
"abd-eldjalil_safssafi",
"abdelhak sebaa",
"abaraka_mohamed",
"zineb ourihan",
"safsafi_nouha",
"regoui_meriem",
"radhwane_ezziane",
"regoui_amira_rym",
"regoui_assia",
"regoui",
"rayan",
"bensouda_alaa",
"benbaleh_hani",
"belkess... |
Imene/vit-base-patch16-384-wi5 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-384-wi5
This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-b... | [
"halilou_afaf",
"hakem_zoubida",
"dria_mabila",
"fatmaelzohra_taleb",
"fairouze_senadjki",
"elkkad_khaoula",
"fadi_quarmouch",
"fanan oukhouch",
"fadel_ikram",
"djennadi_elhadi",
"touati_assia",
"timizar_saliha",
"hafidi_amel",
"tinhinan",
"timizar_kaouthar",
"timizar_imene",
"walid"... |
Imene/vit-base-patch16-224-in21k-Writer-Identification |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-in21k-Writer-Identification
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https... | [
"benbekhma_marwa",
"benbaleh_hani",
"ayoub achor",
"aya_sebti",
"aya_rezzoug",
"beldi_amira",
"attallah_assia",
"azzone_mourad",
"bekhti_djamila",
"bedder",
"assia_mlhoubi",
"belferroum_assin",
"belkessa_imane",
"amira_tbessi",
"assia_hamida",
"amina_larachi",
"anis_ferokhi",
"arko... |
Imene/vit-base-patch16-224-in21k-Wr |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-in21k-Wr
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/g... | [
"benbekhma_marwa",
"benbaleh_hani",
"ayoub achor",
"aya_sebti",
"aya_rezzoug",
"beldi_amira",
"attallah_assia",
"azzone_mourad",
"bekhti_djamila",
"bedder",
"assia_mlhoubi",
"belferroum_assin",
"belkessa_imane",
"amira_tbessi",
"assia_hamida",
"amina_larachi",
"anis_ferokhi",
"arko... |
valadhi/swin-tiny-patch4-window7-224-finetuned-agrivision |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-agrivision
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224]... | [
"castravete",
"rosie",
"salata"
] |
ezzouhri/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"c0",
"c1",
"c2",
"c3",
"c4",
"c5",
"c6",
"c7",
"c8",
"c9"
] |
dhruv0808/autotrain-ad_detection_ver_1-1395053127 |
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1395053127
- CO2 Emissions (in grams): 0.0097
## Validation Metrics
- Loss: 0.178
- Accuracy: 0.941
- Precision: 0.947
- Recall: 0.947
- AUC: 0.974
- F1: 0.947 | [
"ads",
"non_ads"
] |
DominikB/autotrain-person-classifier-1401653210 |
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1401653210
- CO2 Emissions (in grams): 0.0143
## Validation Metrics
- Loss: 0.000
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000 | [
"jack_black",
"johnny_depp"
] |
victor/autotrain-donut-vs-croissant-1417653460 |
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1417653460
- CO2 Emissions (in grams): 2.2028
## Validation Metrics
- Loss: 0.023
- Accuracy: 0.994
- Precision: 0.995
- Recall: 0.995
- AUC: 1.000
- F1: 0.995 | [
"croissant",
"donut"
] |
Imene/vit-base-patch16-224-wi2 |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Imene/vit-base-patch16-224-wi2
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-b... | [
"halilou_afaf",
"hakem_zoubida",
"dria_mabila",
"fatmaelzohra_taleb",
"fairouze_senadjki",
"elkkad_khaoula",
"fadi_quarmouch",
"fanan oukhouch",
"fadel_ikram",
"djennadi_elhadi",
"touati_assia",
"timizar_saliha",
"hafidi_amel",
"tinhinan",
"timizar_kaouthar",
"timizar_imene",
"walid"... |
davanstrien/autotrain-encyclopedia_britannica-1423853554 |
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1423853554
- CO2 Emissions (in grams): 3.1472
## Validation Metrics
- Loss: 0.033
- Accuracy: 0.993
- Precision: 0.993
- Recall: 1.000
- AUC: 0.996
- F1: 0.996 | [
"illustrated",
"text-only"
] |
nuts/autotrain-human_art_or_not-1432453604 |
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1432453604
- CO2 Emissions (in grams): 1.7173
## Validation Metrics
- Loss: 0.000
- Accuracy: 1.000
- Precision: 1.000
- Recall: 1.000
- AUC: 1.000
- F1: 1.000 | [
"human_art",
"stable_diffusion"
] |
shahukareem/hedhikaa-classifier |
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1433153614
- CO2 Emissions (in grams): 0.0059
## Validation Metrics
- Loss: 0.177
- Accuracy: 0.976
- Macro F1: 0.961
- Micro F1: 0.976
- Weighted F1: 0.976
- Macro Precision: 0.969
- Micro Precision: 0.976
- Weighted Precision: ... | [
"bajiya",
"boakibaa",
"gulha",
"masroshi"
] |
macanoso/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
NimaBoscarino/butterflies |
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1433953639
- CO2 Emissions (in grams): 0.0117
## Validation Metrics
- Loss: 0.606
- Accuracy: 0.880
- Macro F1: 0.844
- Micro F1: 0.880
- Weighted F1: 0.844
- Macro Precision: 0.827
- Micro Precision: 0.880
- Weighted Precision: ... | [
"adonis",
"african giant swallowtail",
"blue morpho",
"blue spotted crow",
"brown siproeta",
"cabbage white",
"cairns birdwing",
"checquered skipper",
"chestnut",
"cleopatra",
"clodius parnassian",
"clouded sulphur",
"american snoot",
"common banded awl",
"common wood-nymph",
"copper t... |
TastyOs/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
MommySernox/autotrain-furrygendataset-1436353679 |
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1436353679
- CO2 Emissions (in grams): 2.4820
- Currently,The model has been trained to recognize o ly the following species:
-Sergal
-Protogen
-Wolf
-Fox
-Synth
-Shark
-Dragon
Works best if submitted image's background isn't plai... | [
"dragon",
"fox",
"protogen",
"sergal",
"shark",
"synth",
"wolf"
] |
erikejw/swin-tiny-patch4-window7-224-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
erikejw/swin-base-patch4-window7-224-in22k-finetuned-eurosat |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-base-patch4-window7-224-in22k-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-2... | [
"annualcrop",
"forest",
"herbaceousvegetation",
"highway",
"industrial",
"pasture",
"permanentcrop",
"residential",
"river",
"sealake"
] |
juliensimon/autotrain-food101-1471154050 |
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1471154050
- CO2 Emissions (in grams): 135.1875
## Validation Metrics
- Loss: 0.391
- Accuracy: 0.890
- Macro F1: 0.890
- Micro F1: 0.890
- Weighted F1: 0.890
- Macro Precision: 0.892
- Micro Precision: 0.890
- Weighted Precision... | [
"apple_pie",
"baby_back_ribs",
"bruschetta",
"waffles",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheese_plate",
"cheesecake",
"chicken_curry",
"chicken_quesadilla",
"baklava",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_ch... |
juliensimon/autotrain-food101-1471154053 |
# Usage
```
from transformers import pipeline
p = pipeline("image-classification", model="juliensimon/autotrain-food101-1471154053")
result = p("my_image.jpg")
```
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1471154053
- CO2 Emissions (in grams): 179.1154
## Validation Me... | [
"apple_pie",
"baby_back_ribs",
"bruschetta",
"waffles",
"caesar_salad",
"cannoli",
"caprese_salad",
"carrot_cake",
"ceviche",
"cheese_plate",
"cheesecake",
"chicken_curry",
"chicken_quesadilla",
"baklava",
"chicken_wings",
"chocolate_cake",
"chocolate_mousse",
"churros",
"clam_ch... |
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