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ponteineptique
/
latin-classical-small

Feature Extraction
Transformers
PyTorch
xlm
Model card Files Files and versions
xet
Community
1

Instructions to use ponteineptique/latin-classical-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ponteineptique/latin-classical-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ponteineptique/latin-classical-small")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ponteineptique/latin-classical-small")
    model = AutoModel.from_pretrained("ponteineptique/latin-classical-small")
  • Notebooks
  • Google Colab
  • Kaggle
latin-classical-small
164 MB
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History: 9 commits
system's picture
system HF Staff
Update config.json
a1d55b6 about 6 years ago
  • .gitattributes
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    initial commit over 6 years ago
  • config.json
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  • merges.txt
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  • pytorch_model.bin
    164 MB
    xet
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  • special_tokens_map.json
    305 Bytes
    Update special_tokens_map.json over 6 years ago
  • tokenizer_config.json
    2 Bytes
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  • vocab.json
    614 kB
    Update vocab.json over 6 years ago