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jonatasgrosman
/
wav2vec2-large-english

Automatic Speech Recognition
Transformers
PyTorch
English
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
4

Instructions to use jonatasgrosman/wav2vec2-large-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jonatasgrosman/wav2vec2-large-english with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-english")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("jonatasgrosman/wav2vec2-large-english")
    model = AutoModelForCTC.from_pretrained("jonatasgrosman/wav2vec2-large-english")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-english
1.26 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 22 commits
jonatasgrosman's picture
jonatasgrosman
Update README.md
9b54e16 over 3 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    7.91 kB
    Update README.md over 3 years ago
  • config.json
    1.35 kB
    update model almost 5 years ago
  • preprocessor_config.json
    214 Bytes
    update model almost 5 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    update model almost 5 years ago
  • special_tokens_map.json
    85 Bytes
    first commit about 5 years ago
  • vocab.json
    300 Bytes
    first commit about 5 years ago