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seemdog
/
ManWav

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

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

  • Libraries
  • Transformers

    How to use seemdog/ManWav with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="seemdog/ManWav")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("seemdog/ManWav")
    model = AutoModelForCTC.from_pretrained("seemdog/ManWav", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ManWav
3.75 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
seemdog's picture
seemdog
Update README.md
b792065 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.77 kB
    Update README.md about 2 years ago
  • config.json
    2.34 kB
    Upload 7 files over 2 years ago
  • model.safetensors
    1.26 GB
    xet
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  • optimizer.pt
    2.49 GB
    xet
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  • preprocessor_config.json
    254 Bytes
    Upload 2 files over 2 years ago
  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    623 Bytes
    xet
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  • tokenizer_config.json
    1.09 kB
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  • train_results.json
    194 Bytes
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  • trainer_state.json
    1.96 kB
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  • training_args.bin
    4.08 kB
    xet
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  • vocab.json
    422 Bytes
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