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emilys
/
twitter-roberta-base-CoNLL

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

Instructions to use emilys/twitter-roberta-base-CoNLL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emilys/twitter-roberta-base-CoNLL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="emilys/twitter-roberta-base-CoNLL")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("emilys/twitter-roberta-base-CoNLL")
    model = AutoModelForTokenClassification.from_pretrained("emilys/twitter-roberta-base-CoNLL", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
twitter-roberta-base-CoNLL
500 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 21 commits
emilys's picture
emilys
update model card README.md
740b982 over 4 years ago
  • .gitattributes
    1.17 kB
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  • .gitignore
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  • README.md
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  • all_results.json
    523 Bytes
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  • config.json
    1.02 kB
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  • eval_results.json
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  • merges.txt
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  • pytorch_model.bin
    496 MB
    xet
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.36 kB
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  • train_results.json
    199 Bytes
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  • trainer_state.json
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  • training_args.bin
    3.25 kB
    xet
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  • vocab.json
    798 kB
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