Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use Dandan0K/Intervention-xls-FR-Ref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dandan0K/Intervention-xls-FR-Ref with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dandan0K/Intervention-xls-FR-Ref")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Dandan0K/Intervention-xls-FR-Ref") model = AutoModelForCTC.from_pretrained("Dandan0K/Intervention-xls-FR-Ref", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download language_model/lm.binary from Dandan0K/Intervention-xls-FR-Ref: direct link, hf CLI and curl.
- Browser
- Download file 17 kB
-
https://huggingface.co/Dandan0K/Intervention-xls-FR-Ref/resolve/main/language_model/lm.binary
- Command line
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hf download hf://Dandan0K/Intervention-xls-FR-Ref/language_model/lm.binary
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curl -L -o lm.binary https://huggingface.co/Dandan0K/Intervention-xls-FR-Ref/resolve/main/language_model/lm.binary
17 kB
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