Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
French
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use JaepaX/whisper-tiny-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaepaX/whisper-tiny-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JaepaX/whisper-tiny-fr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JaepaX/whisper-tiny-fr") model = AutoModelForSpeechSeq2Seq.from_pretrained("JaepaX/whisper-tiny-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3e28f2f85430f5dc826a5352a20ef217fad54d50e88a18dd8f819acc335f45d
- Size of remote file:
- 5.05 kB
- SHA256:
- ef16ea603d5237e32e103e4c50b54a70b01579c70603e7736e8f7cb016d8ef09
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