Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use AlexN/xls-r-300m-fr-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexN/xls-r-300m-fr-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AlexN/xls-r-300m-fr-0")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AlexN/xls-r-300m-fr-0") model = AutoModelForCTC.from_pretrained("AlexN/xls-r-300m-fr-0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4523d04cba5171293fcd91bfaf3fdb65d9f39136d3fee3f150c5118ca77e0a5b
- Size of remote file:
- 1.26 GB
- SHA256:
- 7be356c0416d66c909300c8a24b255d6bc972bb2572b661bdcc3e0167f8aaba0
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