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jimnoneill
/
CarD-T

Token Classification
Transformers
TensorBoard
Safetensors
English
electra
biology
chemistry
medical
cancer
carcinogenesis
biomedical
ner
oncology
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use jimnoneill/CarD-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jimnoneill/CarD-T with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="jimnoneill/CarD-T")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jimnoneill/CarD-T")
    model = AutoModelForTokenClassification.from_pretrained("jimnoneill/CarD-T", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CarD-T / checkpoint-4540
3.99 GB
Ctrl+K
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  • 2 contributors
History: 1 commit
jimnoneill's picture
jimnoneill
Update model
7ede6b3 verified about 1 year ago
  • config.json
    1.21 kB
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  • model.safetensors
    1.33 GB
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  • optimizer.pt
    2.66 GB
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  • rng_state.pth
    14.2 kB
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  • scaler.pt
    988 Bytes
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    679 kB
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  • tokenizer_config.json
    1.36 kB
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  • trainer_state.json
    155 kB
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  • training_args.bin
    5.43 kB
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  • vocab.txt
    225 kB
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