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OTAR3088
/
BioCODGE-GO

Token Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use OTAR3088/BioCODGE-GO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OTAR3088/BioCODGE-GO with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="OTAR3088/BioCODGE-GO")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("OTAR3088/BioCODGE-GO")
    model = AutoModelForTokenClassification.from_pretrained("OTAR3088/BioCODGE-GO")
  • Notebooks
  • Google Colab
  • Kaggle
BioCODGE-GO
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  • 1 contributor
History: 3 commits
Mardiyyah's picture
Mardiyyah
Add tokenizer to hub
a9e33a3 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Add model to hub about 1 month ago
  • config.json
    1.16 kB
    Add model to hub about 1 month ago
  • model.safetensors
    169 MB
    xet
    Add model to hub about 1 month ago
  • special_tokens_map.json
    695 Bytes
    Add tokenizer to hub about 1 month ago
  • tokenizer.json
    764 kB
    Add tokenizer to hub about 1 month ago
  • tokenizer_config.json
    1.49 kB
    Add tokenizer to hub about 1 month ago
  • vocab.txt
    248 kB
    Add tokenizer to hub about 1 month ago