Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use AlexN/xls-r-300m-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexN/xls-r-300m-fr 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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("AlexN/xls-r-300m-fr") model = AutoModelForCTC.from_pretrained("AlexN/xls-r-300m-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AlexN/xls-r-300m-fr: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/AlexN/xls-r-300m-fr/resolve/main/training_args.bin
- Command line
-
hf download hf://AlexN/xls-r-300m-fr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AlexN/xls-r-300m-fr/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- e6cd766f04ffbb6a609cf9af6bcb5ad057cb1cb12c6cbadc24c78a7db12f762e
- Size of remote file:
- 3.06 kB
- SHA256:
- acd1210a48013d18dc58e4f6ea5c766d8c7c54f299c6e4b1a4f46aa0e01bcec9
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