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aiola
/
whisper-medusa-v1

Transformers
Safetensors
whisper
ASR
Automatic Speech Recognition
Whisper
Medusa
Speech
Speculative Decoding
Model card Files Files and versions
xet
Community
1

Instructions to use aiola/whisper-medusa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aiola/whisper-medusa-v1 with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("aiola/whisper-medusa-v1")
    model = AutoModel.from_pretrained("aiola/whisper-medusa-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medusa-v1
6.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
aiola's picture
aiola
Update README.md
6ea7c2f verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.15 kB
    Update README.md about 2 years ago
  • added_tokens.json
    34.6 kB
    Upload 12 files about 2 years ago
  • config.json
    2.65 kB
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  • generation_config.json
    4.38 kB
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  • merges.txt
    494 kB
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  • model-00001-of-00002.safetensors
    4.99 GB
    xet
    Upload 12 files about 2 years ago
  • model-00002-of-00002.safetensors
    1.25 GB
    xet
    Upload 12 files about 2 years ago
  • model.safetensors.index.json
    131 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_config.json
    283 kB
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  • vocab.json
    1.04 MB
    Upload 12 files about 2 years ago