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saahith
/
wav2vec2_base_100h_test

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

Instructions to use saahith/wav2vec2_base_100h_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use saahith/wav2vec2_base_100h_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="saahith/wav2vec2_base_100h_test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("saahith/wav2vec2_base_100h_test")
    model = AutoModelForCTC.from_pretrained("saahith/wav2vec2_base_100h_test")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2_base_100h_test / language_model
3.13 GB
Ctrl+K
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  • 1 contributor
History: 1 commit

This model has 1 file scanned as unsafe.

saahith's picture
saahith
add lm from patrickvonplaten
be46f10 over 3 years ago
  • 4-gram.bin
    3.12 GB
    xet
    add lm from patrickvonplaten over 3 years ago
  • attrs.json
    78 Bytes
    add lm from patrickvonplaten over 3 years ago
  • unigrams.txt
    1.74 MB
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