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willopcbeta
/
lite-whisper-small-fast

Automatic Speech Recognition
Transformers
Safetensors
whisper
audio
hf-asr-leaderboard
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use willopcbeta/lite-whisper-small-fast with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="willopcbeta/lite-whisper-small-fast")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("willopcbeta/lite-whisper-small-fast")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("willopcbeta/lite-whisper-small-fast")
  • Notebooks
  • Google Colab
  • Kaggle
lite-whisper-small-fast
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  • 1 contributor
History: 4 commits
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willopcbeta
Update README.md
770370c verified 27 days ago
  • .gitattributes
    1.52 kB
    initial commit 27 days ago
  • README.md
    3.3 kB
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  • added_tokens.json
    36.2 kB
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  • config.json
    1.39 kB
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  • generation_config.json
    3.84 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    967 MB
    xet
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  • normalizer.json
    54.4 kB
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  • preprocessor_config.json
    371 Bytes
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  • special_tokens_map.json
    2.33 kB
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    296 kB
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  • vocab.json
    836 kB
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