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P0L3
/
CliReNER-gliner_medium-v2.5

Token Classification
GLiNER
PyTorch
English
ner
named-entity-recognition
climate-change
earth-science
biology
Model card Files Files and versions
xet
Community

Instructions to use P0L3/CliReNER-gliner_medium-v2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER

    How to use P0L3/CliReNER-gliner_medium-v2.5 with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("P0L3/CliReNER-gliner_medium-v2.5")
  • Notebooks
  • Google Colab
  • Kaggle
CliReNER-gliner_medium-v2.5
845 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
P0L3's picture
P0L3
Update README.md
9a725d6 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    6.45 kB
    Update README.md 2 months ago
  • added_tokens.json
    70 Bytes
    Upload 7 files 2 months ago
  • gliner_config.json
    3.42 kB
    Upload 7 files 2 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    834 MB
    xet
    Upload 7 files 2 months ago
  • special_tokens_map.json
    1.02 kB
    Upload 7 files 2 months ago
  • spm.model
    2.46 MB
    xet
    Upload 7 files 2 months ago
  • tokenizer.json
    8.65 MB
    Upload 7 files 2 months ago
  • tokenizer_config.json
    1.74 kB
    Upload 7 files 2 months ago