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FL33TW00D-HF
/
whisper-base

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

Instructions to use FL33TW00D-HF/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FL33TW00D-HF/whisper-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="FL33TW00D-HF/whisper-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("FL33TW00D-HF/whisper-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("FL33TW00D-HF/whisper-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base
662 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
FL33TW00D-HF's picture
FL33TW00D-HF
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  • config.json
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