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spencer
/
wav2vec2-base-960h

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use spencer/wav2vec2-base-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use spencer/wav2vec2-base-960h with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="spencer/wav2vec2-base-960h")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("spencer/wav2vec2-base-960h")
    model = AutoModelForCTC.from_pretrained("spencer/wav2vec2-base-960h")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-960h / language_model
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  • 1 contributor
History: 1 commit
spencer's picture
spencer
Upload lm-boosted decoder
3eae345 about 4 years ago
  • 5gram.bin
    45.2 MB
    xet
    Upload lm-boosted decoder about 4 years ago
  • attrs.json
    78 Bytes
    Upload lm-boosted decoder about 4 years ago
  • unigrams.txt
    0 Bytes
    Upload lm-boosted decoder about 4 years ago