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jamesdborin
/
Roberta-Large-CONLL2003

Token Classification
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use jamesdborin/Roberta-Large-CONLL2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jamesdborin/Roberta-Large-CONLL2003 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="jamesdborin/Roberta-Large-CONLL2003")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jamesdborin/Roberta-Large-CONLL2003")
    model = AutoModelForTokenClassification.from_pretrained("jamesdborin/Roberta-Large-CONLL2003")
  • Notebooks
  • Google Colab
  • Kaggle
Roberta-Large-CONLL2003
1.42 GB
Ctrl+K
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  • 2 contributors
History: 8 commits
Jamie@TitanML
uploading model
9500431 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.07 kB
    uploading model about 3 years ago
  • merges.txt
    456 kB
    uploading model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch.LongStorage"

    What is a pickle import?

    1.42 GB
    xet
    uploading model about 3 years ago
  • special_tokens_map.json
    280 Bytes
    uploading model about 3 years ago
  • tokenizer.json
    2.11 MB
    uploading model about 3 years ago
  • tokenizer_config.json
    380 Bytes
    uploading model about 3 years ago
  • vocab.json
    798 kB
    uploading model about 3 years ago