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anthonyyazdaniml
/
gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner

Token Classification
GLiNER
PyTorch
English
NER
GLiNER
information-extraction
entity-recognition
biomed
biological-entities
disease
chemical
gene
variant
species
cell-line
biored
Model card Files Files and versions
xet
Community
2

Instructions to use anthonyyazdaniml/gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use anthonyyazdaniml/gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("anthonyyazdaniml/gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner")
  • Notebooks
  • Google Colab
  • Kaggle
gliner-biomed-large-v1.0-disease-chemical-gene-variant-species-cellline-ner
1.92 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
anthonyyazdaniml's picture
anthonyyazdaniml
Update README.md
6d7bee4 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.04 kB
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  • added_tokens.json
    65 Bytes
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  • gliner_config.json
    3.85 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.91 GB
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  • rng_state.pth

    Detected Pickle imports (7)

    • "numpy._core.multiarray._reconstruct",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "numpy.ndarray",
    • "numpy.dtype",
    • "torch.ByteStorage",
    • "_codecs.encode"

    How to fix it?

    14.2 kB
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  • special_tokens_map.json
    970 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.65 MB
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  • tokenizer_config.json
    1.66 kB
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