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DRAGOO
/
Speech10

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use DRAGOO/Speech10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DRAGOO/Speech10 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="DRAGOO/Speech10")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("DRAGOO/Speech10")
    model = AutoModelForCTC.from_pretrained("DRAGOO/Speech10")
  • Notebooks
  • Google Colab
  • Kaggle
Speech10
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
DRAGOO's picture
DRAGOO
update model card README.md
06fc76a almost 3 years ago
  • runs
    End of training almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 almost 3 years ago
  • README.md
    1.66 kB
    update model card README.md almost 3 years ago
  • config.json
    2.34 kB
    Training in progress, step 1000 almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, step 1000 almost 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    End of training almost 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 1000 almost 3 years ago