Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
mozilla-foundation/common_voice_7_0
robust-speech-event
Generated from Trainer
hf-asr-leaderboard
Instructions to use kapilkd13/xls-r-hi-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kapilkd13/xls-r-hi-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kapilkd13/xls-r-hi-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kapilkd13/xls-r-hi-test") model = AutoModelForCTC.from_pretrained("kapilkd13/xls-r-hi-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- all_results.json +10 -10
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- train_results.json +5 -5
- trainer_state.json +188 -422
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