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
- Xet hash:
- cc17020c5769676a7f2ea85388ea76d3c00745ea20459449f787dc5b95ad61aa
- Size of remote file:
- 484 MB
- SHA256:
- 36a570d52ff8aab76266caa90d8bb3afd0274e6ae2fc120db0c644b835e5e55b
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