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RakeshUtekar
/
hindi_model

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use RakeshUtekar/hindi_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RakeshUtekar/hindi_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RakeshUtekar/hindi_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("RakeshUtekar/hindi_model")
    model = AutoModelForCTC.from_pretrained("RakeshUtekar/hindi_model")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • common_voice_hi_23795238.wav
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  • config.json
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  • optimizer.pt
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  • preprocessor_config.json
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  • pvy85-dvwsj.wav
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  • pytorch_model.bin
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  • rng_state.pth
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
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  • vocab.json
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