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tner
/
roberta-large-bc5cdr

Token Classification
Transformers
PyTorch
roberta
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use tner/roberta-large-bc5cdr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tner/roberta-large-bc5cdr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tner/roberta-large-bc5cdr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-bc5cdr")
    model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-bc5cdr")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-large-bc5cdr
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
asahi417's picture
asahi417
model update
5b56490 almost 4 years ago
  • eval
    model update almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    4.98 kB
    model update almost 4 years ago
  • config.json
    2.93 kB
    model update almost 4 years ago
  • merges.txt
    456 kB
    add tokenizer almost 4 years ago
  • pytorch_model.bin
    1.42 GB
    xet
    model update almost 4 years ago
  • special_tokens_map.json
    280 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    492 Bytes
    model update almost 4 years ago
  • trainer_config.json
    328 Bytes
    model update almost 4 years ago
  • vocab.json
    798 kB
    add tokenizer almost 4 years ago