Automatic Speech Recognition
Transformers
PyTorch
French
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
Eval Results (legacy)
Instructions to use Plim/xls-r-300m-cv_8-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Plim/xls-r-300m-cv_8-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Plim/xls-r-300m-cv_8-fr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Plim/xls-r-300m-cv_8-fr") model = AutoModelForCTC.from_pretrained("Plim/xls-r-300m-cv_8-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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- name: XLS-R-
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results:
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- task:
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name: Automatic Speech Recognition
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- automatic-speech-recognition
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- mozilla-foundation/common_voice_8_0
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- generated_from_trainer
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model-index:
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- name: XLS-R-300m - French
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results:
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- task:
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name: Automatic Speech Recognition
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