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 pytorch_model.bin from AlexN/xls-r-300m-fr: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/AlexN/xls-r-300m-fr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AlexN/xls-r-300m-fr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AlexN/xls-r-300m-fr/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 3976a5e17d6720fbb3991be16b5b35d3df0aaa2b24f61493998347aba6e9c28d
- Size of remote file:
- 1.26 GB
- SHA256:
- 8f9c6a7fe50ee84c94a3ae149eea45203dc369fa4e7bcf46fbc4367f2385e4d3
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