Text Classification
Transformers
Safetensors
English
modernbert
text-generation-inference
unsloth
trl
text-embeddings-inference
Instructions to use 1024m/Kaggle-MAP-2025-L2Trail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1024m/Kaggle-MAP-2025-L2Trail with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="1024m/Kaggle-MAP-2025-L2Trail")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("1024m/Kaggle-MAP-2025-L2Trail") model = AutoModelForSequenceClassification.from_pretrained("1024m/Kaggle-MAP-2025-L2Trail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: 1024m
- License: apache-2.0
- Finetuned from model : answerdotai/ModernBERT-large
This modernbert model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Downloads last month
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Model tree for 1024m/Kaggle-MAP-2025-L2Trail
Base model
answerdotai/ModernBERT-large