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clulab
/
roberta-timex-semeval

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

Instructions to use clulab/roberta-timex-semeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use clulab/roberta-timex-semeval with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="clulab/roberta-timex-semeval")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("clulab/roberta-timex-semeval")
    model = AutoModelForTokenClassification.from_pretrained("clulab/roberta-timex-semeval")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-timex-semeval
997 MB
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  • 1 contributor
History: 25 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
3b980ef almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    3.93 kB
    Update config.json almost 6 years ago
  • flax_model.msgpack
    496 MB
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    upload flax model almost 5 years ago
  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    499 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    239 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    260 Bytes
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  • training_args.bin
    1.1 kB
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  • vocab.json
    798 kB
    Update vocab.json almost 6 years ago