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ameerazam08
/
Hubert-Speech-Fluency

Transformers
PyTorch
TensorBoard
hubert
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ameerazam08/Hubert-Speech-Fluency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ameerazam08/Hubert-Speech-Fluency with Transformers:

    # Load model directly
    from transformers import AutoProcessor, HubertForSpeechClassification
    
    processor = AutoProcessor.from_pretrained("ameerazam08/Hubert-Speech-Fluency")
    model = HubertForSpeechClassification.from_pretrained("ameerazam08/Hubert-Speech-Fluency", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Hubert-Speech-Fluency
1.11 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ameerazam08's picture
ameerazam08
Done Hubert
3b11f8a almost 4 years ago
  • runs
    Done Hubert almost 4 years ago
  • .gitattributes
    1.38 kB
    initial commit almost 4 years ago
  • all_results.json
    228 Bytes
    Done Hubert almost 4 years ago
  • config.json
    1.85 kB
    Done Hubert almost 4 years ago
  • optimizer.pt
    726 MB
    xet
    Done Hubert almost 4 years ago
  • preprocessor_config.json
    213 Bytes
    Done Hubert almost 4 years ago
  • pytorch_model.bin
    380 MB
    xet
    Done Hubert almost 4 years ago
  • rng_state.pth
    14.6 kB
    xet
    Done Hubert almost 4 years ago
  • scaler.pt
    559 Bytes
    xet
    Done Hubert almost 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    Done Hubert almost 4 years ago
  • train_results.json
    228 Bytes
    Done Hubert almost 4 years ago
  • trainer_state.json
    2.47 kB
    Done Hubert almost 4 years ago
  • training_args.bin
    3.44 kB
    xet
    Done Hubert almost 4 years ago