Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
trl
Instructions to use Benjamin-png/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjamin-png/lora_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Benjamin-png/lora_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Benjamin-png/lora_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Benjamin-png/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from Benjamin-png/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 575 Bytes
-
https://huggingface.co/Benjamin-png/lora_model/resolve/main/README.md
- Command line
-
hf download hf://Benjamin-png/lora_model/README.md
-
curl -L -o README.md https://huggingface.co/Benjamin-png/lora_model/resolve/main/README.md
575 Bytes
metadata
base_model: openai/whisper-large-v3
tags:
- text-generation-inference
- transformers
- unsloth
- whisper
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: Benjamin-png
- License: apache-2.0
- Finetuned from model : openai/whisper-large-v3
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
