Instructions to use alkiskoudounas/xls-r-53-fr-speechmassive-fr-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alkiskoudounas/xls-r-53-fr-speechmassive-fr-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="alkiskoudounas/xls-r-53-fr-speechmassive-fr-FR")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("alkiskoudounas/xls-r-53-fr-speechmassive-fr-FR") model = AutoModelForAudioClassification.from_pretrained("alkiskoudounas/xls-r-53-fr-speechmassive-fr-FR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85a23e3b40ab048654c102e607e01892d83b9bb001a3023f6b9ecc6bb27d367f
- Size of remote file:
- 14.3 kB
- SHA256:
- 9b838616ef64c9aad03407c0f4f18a239dc7f4eb7bed6836b33abfbaac89f174
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