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hf-internal-testing
/
tiny-random-speech-encoder-decoder

Automatic Speech Recognition
Transformers
PyTorch
speech-encoder-decoder
Model card Files Files and versions
xet
Community
1

Instructions to use hf-internal-testing/tiny-random-speech-encoder-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-speech-encoder-decoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-speech-encoder-decoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq
    
    tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-speech-encoder-decoder")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("hf-internal-testing/tiny-random-speech-encoder-decoder")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-speech-encoder-decoder
1.18 kB
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  • 1 contributor
History: 1 commit
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system HF Staff
initial commit
b023388 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago