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Bagus
/
wavlm_base-plus_emodb

Transformers
PyTorch
wavlm
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use Bagus/wavlm_base-plus_emodb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Bagus/wavlm_base-plus_emodb with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Bagus/wavlm_base-plus_emodb")
    model = AutoModel.from_pretrained("Bagus/wavlm_base-plus_emodb", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wavlm_base-plus_emodb
380 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
Bagus's picture
Bagus
Training in progress, step 30
880710d verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.44 kB
    Model save about 2 years ago
  • config.json
    2.77 kB
    Training in progress, step 1 about 2 years ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 1 about 2 years ago
  • pytorch_model.bin
    380 MB
    xet
    Training in progress, step 30 about 2 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    354 Bytes
    Upload tokenizer about 2 years ago
  • training_args.bin
    4.54 kB
    xet
    Training in progress, step 1 about 2 years ago
  • vocab.json
    3 Bytes
    Upload tokenizer about 2 years ago