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
| checkpoint-*/ | |
| *results.json | |
| training_args.bin | |
| trainer_state.json | |
| normalizer.json | |
| wer_summary/ | |
| tmp* |