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mlml-chip
/
thyme2_colon_e2e

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

Instructions to use mlml-chip/thyme2_colon_e2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mlml-chip/thyme2_colon_e2e with Transformers:

    # Load model directly
    from transformers import CnlpModelForClassification
    model = CnlpModelForClassification.from_pretrained("mlml-chip/thyme2_colon_e2e", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
thyme2_colon_e2e
540 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Tim Miller
Fixing incorrect model commit.
1139fe1 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • added_tokens.json
    141 Bytes
    First version of model to do end-to-end temporal IE from THYME2. includes all relation types, events with DTR, and timexes with time classes. over 3 years ago
  • config.json
    3.6 kB
    Updated for cnlpt v0.6.0 about 3 years ago
  • pytorch_model.bin
    539 MB
    xet
    Fixing incorrect model commit. about 3 years ago
  • special_tokens_map.json
    260 Bytes
    First version of model to do end-to-end temporal IE from THYME2. includes all relation types, events with DTR, and timexes with time classes. over 3 years ago
  • tokenizer.json
    680 kB
    First version of model to do end-to-end temporal IE from THYME2. includes all relation types, events with DTR, and timexes with time classes. over 3 years ago
  • tokenizer_config.json
    571 Bytes
    First version of model to do end-to-end temporal IE from THYME2. includes all relation types, events with DTR, and timexes with time classes. over 3 years ago
  • vocab.txt
    225 kB
    First version of model to do end-to-end temporal IE from THYME2. includes all relation types, events with DTR, and timexes with time classes. over 3 years ago