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wrice
/
wav2vec2-base-960h

Automatic Speech Recognition
Transformers
google-tensorflow TensorFlow
wav2vec2
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="wrice/wav2vec2-base-960h")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("wrice/wav2vec2-base-960h")
    model = AutoModelForCTC.from_pretrained("wrice/wav2vec2-base-960h", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-960h
378 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
wrice's picture
wrice
Add TFWav2Vec2 Model
268ea9f about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    0 Bytes
    Create README.md about 5 years ago
  • config.json
    1.39 kB
    Add TFWav2Vec2 Model about 5 years ago
  • tf_model.h5
    378 MB
    xet
    Add TFWav2Vec2 Model about 5 years ago