Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
French
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Fiwex/whisper-small-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fiwex/whisper-small-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Fiwex/whisper-small-fr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Fiwex/whisper-small-fr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Fiwex/whisper-small-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79bb681814567d05d7acef73b02cef39508951a420d8b990e863fed4239bb093
- Size of remote file:
- 4.79 kB
- SHA256:
- 6a3dcf1fbb0b303664d2904d7aaa28f397ab676bf689192da99f7fd2d3d35183
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