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EffyLi
/
bert-base-NER-finetuned-ner-cerec

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

Instructions to use EffyLi/bert-base-NER-finetuned-ner-cerec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EffyLi/bert-base-NER-finetuned-ner-cerec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="EffyLi/bert-base-NER-finetuned-ner-cerec")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("EffyLi/bert-base-NER-finetuned-ner-cerec")
    model = AutoModelForTokenClassification.from_pretrained("EffyLi/bert-base-NER-finetuned-ner-cerec", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-NER-finetuned-ner-cerec
432 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
EffyLi's picture
EffyLi
update model card README.md
43048fa over 3 years ago
  • .gitattributes
    1.48 kB
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  • .gitignore
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  • README.md
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  • config.json
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  • pytorch_model.bin
    431 MB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_args.bin
    3.44 kB
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  • vocab.txt
    213 kB
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