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JonyC
/
scibert-NER-finetuned-improved

Token Classification
Transformers
Safetensors
English
bert
Science
NER
scientific-term-detection
Model card Files Files and versions
xet
Community

Instructions to use JonyC/scibert-NER-finetuned-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JonyC/scibert-NER-finetuned-improved with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="JonyC/scibert-NER-finetuned-improved")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JonyC/scibert-NER-finetuned-improved")
    model = AutoModelForTokenClassification.from_pretrained("JonyC/scibert-NER-finetuned-improved")
  • Notebooks
  • Google Colab
  • Kaggle
scibert-NER-finetuned-improved
438 MB
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  • 1 contributor
History: 9 commits
JonyC's picture
JonyC
Update README.md
b803481 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    7.61 kB
    Update README.md about 1 year ago
  • config.json
    738 Bytes
    Upload BertForTokenClassification about 1 year ago
  • model.safetensors
    437 MB
    xet
    Upload BertForTokenClassification about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    717 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.3 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    228 kB
    Upload tokenizer about 1 year ago