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cook
/
cicero-similis

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Latin
bert
language model
Model card Files Files and versions
xet
Community
1

Instructions to use cook/cicero-similis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cook/cicero-similis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="cook/cicero-similis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("cook/cicero-similis")
    model = AutoModelForMaskedLM.from_pretrained("cook/cicero-similis")
  • Notebooks
  • Google Colab
  • Kaggle
cicero-similis
834 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
todd-cook
updated for paper publication
971409a over 4 years ago
  • .gitattributes
    838 Bytes
    allow flax almost 5 years ago
  • README.md
    1.88 kB
    updated for paper publication over 4 years ago
  • config.json
    595 Bytes
    updated for paper publication over 4 years ago
  • flax_model.msgpack
    251 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin
    253 MB
    xet
    updated for paper publication over 4 years ago
  • special_tokens_map.json
    112 Bytes
    initial version about 5 years ago
  • tf_model.h5
    329 MB
    xet
    updated for paper publication over 4 years ago
  • tokenizer_config.json
    331 Bytes
    initial version about 5 years ago
  • vocab.txt
    194 kB
    updated for paper publication over 4 years ago