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simzacademy
/
whisper-small-toi

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

Instructions to use simzacademy/whisper-small-toi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use simzacademy/whisper-small-toi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="simzacademy/whisper-small-toi")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("simzacademy/whisper-small-toi")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("simzacademy/whisper-small-toi")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-toi
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  • 1 contributor
History: 10 commits
simzacademy's picture
simzacademy
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • model.safetensors
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  • normalizer.json
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  • optimizer.pt
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • rng_state.pth
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  • scaler.pt
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  • scheduler.pt
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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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