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cwkeam
/
mctc-large

Transformers
PyTorch
mctc
Model card Files Files and versions
xet
Community

Instructions to use cwkeam/mctc-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cwkeam/mctc-large with Transformers:

    # Load model directly
    from transformers import MCTCForCTC
    model = MCTCForCTC.from_pretrained("cwkeam/mctc-large", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mctc-large
4.24 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 11 commits
patrickvonplaten's picture
patrickvonplaten
update tokenizer
ce4eb45 about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    0 Bytes
    init about 4 years ago
  • added_tokens.json
    27 Bytes
    update tokenizer about 4 years ago
  • config.json
    898 Bytes
    ported pytorch weights about 4 years ago
  • preprocessor_config.json
    497 Bytes
    update tokenizer about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    4.24 GB
    xet
    confirmed working about 4 years ago
  • special_tokens_map.json
    309 Bytes
    update tokenizer about 4 years ago
  • tokenizer_config.json
    370 Bytes
    update tokenizer about 4 years ago
  • vocab.json
    103 kB
    update tokenizer about 4 years ago