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ainouche-abderahmane
/
grammateus

Token Classification
Transformers
Safetensors
Ancient Greek (to 1453)
roberta
named-entity-recognition
ner
information-extraction
ancient-greek
greek-ner
papyrology
epigraphy
classics
classical-studies
digital-humanities
economic-history
greberta
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ainouche-abderahmane/grammateus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ainouche-abderahmane/grammateus with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ainouche-abderahmane/grammateus")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ainouche-abderahmane/grammateus")
    model = AutoModelForTokenClassification.from_pretrained("ainouche-abderahmane/grammateus", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
grammateus
507 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ainouche-abderahmane's picture
ainouche-abderahmane
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  • .gitattributes
    1.52 kB
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  • README.md
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  • config.json
    2.16 kB
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  • labels.json
    1.26 kB
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  • model.safetensors
    502 MB
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  • tokenizer.json
    5.42 MB
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  • tokenizer_config.json
    415 Bytes
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  • training_args.bin
    5.2 kB
    xet
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