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 to add add timestamp information to this model.
#4 opened 9 months ago
by
li825456
MLX version
#3 opened 10 months ago
by
masure
How can i fine tune that model to get better results?
👀 1
1
#2 opened about 1 year ago
by
romain130492
Error unhashable type: 'dict with AutoProcessor.from_pretrained
1
#1 opened over 2 years ago
by
Isabala