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voidful
/
hubert-tiny-100-pr

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

Instructions to use voidful/hubert-tiny-100-pr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/hubert-tiny-100-pr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="voidful/hubert-tiny-100-pr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("voidful/hubert-tiny-100-pr")
    model = AutoModelForCTC.from_pretrained("voidful/hubert-tiny-100-pr")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-tiny-100-pr
198 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
voidful's picture
voidful
init commit
e7ad76b about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    2.03 kB
    init commit about 3 years ago
  • optimizer.pt
    132 MB
    xet
    init commit about 3 years ago
  • preprocessor_config.json
    256 Bytes
    init commit about 3 years ago
  • pytorch_model.bin
    66 MB
    xet
    init commit about 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    init commit about 3 years ago
  • scaler.pt
    557 Bytes
    xet
    init commit about 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    init commit about 3 years ago
  • trainer_state.json
    487 kB
    init commit about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    init commit about 3 years ago