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devkyle
/
whisper-small-dp-v4

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use devkyle/whisper-small-dp-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devkyle/whisper-small-dp-v4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-small-dp-v4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devkyle/whisper-small-dp-v4")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-small-dp-v4")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-dp-v4
153 MB
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  • 1 contributor
History: 5 commits
devkyle's picture
devkyle
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be28e3c verified over 1 year ago
  • runs
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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
    151 MB
    xet
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    339 Bytes
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  • special_tokens_map.json
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  • training_args.bin
    5.5 kB
    xet
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  • vocab.json
    1.04 MB
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