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medspaner
/
roberta-es-clinical-trials-temporal-ner

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

Instructions to use medspaner/roberta-es-clinical-trials-temporal-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use medspaner/roberta-es-clinical-trials-temporal-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="medspaner/roberta-es-clinical-trials-temporal-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("medspaner/roberta-es-clinical-trials-temporal-ner")
    model = AutoModelForTokenClassification.from_pretrained("medspaner/roberta-es-clinical-trials-temporal-ner", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-es-clinical-trials-temporal-ner
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  • 1 contributor
History: 43 commits
lcampillos's picture
lcampillos
Update README.md
afda652 verified almost 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • merges.txt
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_args.bin
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  • vocab.json
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