Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use hf-test/xls-r-300m-sv-cv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-test/xls-r-300m-sv-cv8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-test/xls-r-300m-sv-cv8")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-test/xls-r-300m-sv-cv8") model = AutoModelForCTC.from_pretrained("hf-test/xls-r-300m-sv-cv8") - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
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2022-01-27T20:28:04,bcde6684-6e8b-44b1-bc0e-692885ab40eb,codecarbon,29711.2894551754,0.07369952252551296,0.350156533294253,United States,USA,new york,N,,
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