Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Uyghur
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use lucio/xls-r-uyghur-cv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucio/xls-r-uyghur-cv8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lucio/xls-r-uyghur-cv8")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lucio/xls-r-uyghur-cv8") model = AutoModelForCTC.from_pretrained("lucio/xls-r-uyghur-cv8") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- runs/Jan28_17-40-32_job-0074bb36-c67f-4775-b1b6-176eb09b0ba4/events.out.tfevents.1643391738.job-0074bb36-c67f-4775-b1b6-176eb09b0ba4.843454.0 +2 -2
- runs/Jan28_17-40-32_job-0074bb36-c67f-4775-b1b6-176eb09b0ba4/events.out.tfevents.1643444394.job-0074bb36-c67f-4775-b1b6-176eb09b0ba4.843454.2 +3 -0
- train_results.json +5 -5
- trainer_state.json +1023 -288
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