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flexudy
/
t5-base-conceptor

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use flexudy/t5-base-conceptor with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("flexudy/t5-base-conceptor")
    model = AutoModelForSeq2SeqLM.from_pretrained("flexudy/t5-base-conceptor")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-conceptor
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  • 1 contributor
History: 15 commits
flexudy's picture
flexudy
Update README.md
ec2689f over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
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  • config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    792 kB
    xet
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  • tokenizer.json
    1.39 MB
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  • tokenizer_config.json
    1.89 kB
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