Automatic Speech Recognition
Transformers
Safetensors
French
whisper
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use bofenghuang/whisper-large-v3-french with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bofenghuang/whisper-large-v3-french with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-large-v3-french")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bofenghuang/whisper-large-v3-french") model = AutoModelForMultimodalLM.from_pretrained("bofenghuang/whisper-large-v3-french") - Notebooks
- Google Colab
- Kaggle
How can i fine tune that model to get better results?
#2
by romain130492 - opened
Hey
How can i fine tune that model to get better results? (for french)
im not getting better result than with whisper, using that model.
thx
you can find tutorials or notebooks to fine-tune Whisper (full fine-tune or LoRA). only need to replace the pre-trained Whisper models by this one.