Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
French
whisper
hf-asr-leaderboard
whisper-event
Eval Results (legacy)
Instructions to use bofenghuang/whisper-small-cv11-french with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bofenghuang/whisper-small-cv11-french with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bofenghuang/whisper-small-cv11-french")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("bofenghuang/whisper-small-cv11-french") model = AutoModelForMultimodalLM.from_pretrained("bofenghuang/whisper-small-cv11-french") - Notebooks
- Google Colab
- Kaggle
| WER: 0.10812236286919831 | |
| CER: 0.049723756906077346 |