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simodo79
/
whisper-small-vdv

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

Instructions to use simodo79/whisper-small-vdv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use simodo79/whisper-small-vdv with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="simodo79/whisper-small-vdv")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("simodo79/whisper-small-vdv")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("simodo79/whisper-small-vdv", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-vdv / onnx
1.85 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
simodo79's picture
simodo79
Upload 13 files
2abc7b0 verified about 2 years ago
  • added_tokens.json
    34.6 kB
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  • config.json
    2.25 kB
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  • decoder_model.onnx
    774 MB
    xet
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  • decoder_with_past_model.onnx
    717 MB
    xet
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  • encoder_model.onnx
    353 MB
    xet
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  • generation_config.json
    3.82 kB
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  • merges.txt
    494 kB
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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
    2.19 kB
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  • tokenizer.json
    2.48 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    836 kB
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