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P0L3
/
CliReNER-roberta-base

Token Classification
SpanMarker
Safetensors
English
ner
named-entity-recognition
generated_from_span_marker_trainer
climate-change
earth-science
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • SpanMarker

    How to use P0L3/CliReNER-roberta-base with SpanMarker:

    from span_marker import SpanMarkerModel
    
    model = SpanMarkerModel.from_pretrained("P0L3/CliReNER-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
CliReNER-roberta-base
504 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
P0L3's picture
P0L3
Update README.md
984ac9a verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
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  • added_tokens.json
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  • config.json
    8.45 kB
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  • merges.txt
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  • model.safetensors
    499 MB
    xet
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  • special_tokens_map.json
    295 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    1.72 kB
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  • training_args.bin
    5.91 kB
    xet
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  • vocab.json
    798 kB
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