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benwoodyear
/
t5-base-cryptic-crosswords

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use benwoodyear/t5-base-cryptic-crosswords with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use benwoodyear/t5-base-cryptic-crosswords with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("benwoodyear/t5-base-cryptic-crosswords")
    model = AutoModelForSeq2SeqLM.from_pretrained("benwoodyear/t5-base-cryptic-crosswords", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-cryptic-crosswords
892 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
benwoodyear's picture
benwoodyear
Our first big model!
9b5ead2 over 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • README.md
    28 Bytes
    Update README.md over 4 years ago
  • config.json
    1.42 kB
    Our first big model! over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    892 MB
    xet
    Our first big model! over 4 years ago