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latincy
/
latin-bert

Fill-Mask
Transformers
PyTorch
Safetensors
Latin
bert
feature-extraction
latin
nlp
classics
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use latincy/latin-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="latincy/latin-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("latincy/latin-bert")
    model = AutoModel.from_pretrained("latincy/latin-bert")
  • Notebooks
  • Google Colab
  • Kaggle
latin-bert / data /case_studies
1.24 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
diyclassics's picture
diyclassics
refactor: extract shared case study utils and move data to tracked paths
f04d50f 2 months ago
  • infilling
    refactor: extract shared case study utils and move data to tracked paths 2 months ago
  • wsd
    refactor: extract shared case study utils and move data to tracked paths 2 months ago