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:
- 66312a3f100502e151551ca4d9765391704fe56d7838916c1e0027b6737f206c
- Size of remote file:
- 1.26 GB
- SHA256:
- fa0a70167148fa0360157dd881e95fdf9e7f070ed55988e18bcb44bb6ea665e9
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