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
Ctrl+K
- results_african_accented_french_beam5
- results_african_accented_french_greedy
- results_cv11_beam5
- results_cv11_greedy
- results_fleurs_beam5
- results_fleurs_greedy
- results_mls_beam5
- results_mls_greedy
- results_voxpopuli_beam5
- results_voxpopuli_greedy
- runs
- 1.48 kB
- 100 Bytes
- 7.89 kB
- 2.11 kB
- 1.01 kB
- 494 kB
- 484 MB xet
- 185 kB
- 484 MB xet
- 2.06 kB
- 829 Bytes
- 1.04 MB