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tmills
/
cnlpt-negation-roberta-sharpseed

Transformers
PyTorch
cnlpt
Model card Files Files and versions
xet
Community
1

Instructions to use tmills/cnlpt-negation-roberta-sharpseed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tmills/cnlpt-negation-roberta-sharpseed with Transformers:

    # Load model directly
    from transformers import CnlpModelForClassification
    model = CnlpModelForClassification.from_pretrained("tmills/cnlpt-negation-roberta-sharpseed", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cnlpt-negation-roberta-sharpseed
504 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Tim Miller
First version of model after updating code repo (0.2.0)
3ed14dd about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • added_tokens.json
    122 Bytes
    First version of model after updating code repo (0.2.0) about 4 years ago
  • config.json
    2.61 kB
    First version of model after updating code repo (0.2.0) about 4 years ago
  • merges.txt
    456 kB
    First version of model after updating code repo (0.2.0) about 4 years ago
  • pytorch_model.bin
    501 MB
    xet
    First version of model after updating code repo (0.2.0) about 4 years ago
  • special_tokens_map.json
    336 Bytes
    First version of model after updating code repo (0.2.0) about 4 years ago
  • tokenizer.json
    1.36 MB
    First version of model after updating code repo (0.2.0) about 4 years ago
  • tokenizer_config.json
    445 Bytes
    First version of model after updating code repo (0.2.0) about 4 years ago
  • vocab.json
    798 kB
    First version of model after updating code repo (0.2.0) about 4 years ago