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WillHeld
/
levanter-whisper-tiny-librispeech-960

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

Instructions to use WillHeld/levanter-whisper-tiny-librispeech-960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WillHeld/levanter-whisper-tiny-librispeech-960 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="WillHeld/levanter-whisper-tiny-librispeech-960")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("WillHeld/levanter-whisper-tiny-librispeech-960")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("WillHeld/levanter-whisper-tiny-librispeech-960")
  • Notebooks
  • Google Colab
  • Kaggle
levanter-whisper-tiny-librispeech-960
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  • 2 contributors
History: 2 commits
Helw150
Model Upload
d5d8786 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    2.24 kB
    Model Upload about 2 years ago
  • model.safetensors
    69.1 MB
    xet
    Model Upload about 2 years ago
  • preprocessor_config.json
    185 kB
    Model Upload about 2 years ago
  • special_tokens_map.json
    96 Bytes
    Model Upload about 2 years ago
  • tokenizer_config.json
    1.09 kB
    Model Upload about 2 years ago
  • vocab.json
    358 Bytes
    Model Upload about 2 years ago