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d4data
/
biomedical-ner-all

Token Classification
Transformers
PyTorch
Safetensors
English
distilbert
Token Classification
Model card Files Files and versions
xet
Community
9

Instructions to use d4data/biomedical-ner-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use d4data/biomedical-ner-all with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="d4data/biomedical-ner-all")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("d4data/biomedical-ner-all")
    model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-all")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
biomedical-ner-all
267 MB
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  • 2 contributors
History: 18 commits
sschet's picture
sschet
Upload 6 files
7bd3c5d over 3 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    2.81 kB
    Update README.md over 3 years ago
  • config.json
    5 kB
    Update config.json almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    266 MB
    xet
    reverting to version3 almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    reverting to version3 almost 4 years ago
  • tokenizer.json
    711 kB
    adding model files almost 4 years ago
  • tokenizer_config.json
    373 Bytes
    reverting to version3 almost 4 years ago
  • vocab.txt
    232 kB
    adding model files almost 4 years ago