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figurative-nlp
/
t5-figurative-paraphrase

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

Instructions to use figurative-nlp/t5-figurative-paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use figurative-nlp/t5-figurative-paraphrase with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("figurative-nlp/t5-figurative-paraphrase")
    model = AutoModelForSeq2SeqLM.from_pretrained("figurative-nlp/t5-figurative-paraphrase", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-figurative-paraphrase
895 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
figurative-nlp's picture
figurative-nlp
Create README.md
4c382b6 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.42 kB
    Create README.md over 4 years ago
  • config.json
    1.38 kB
    from Google Colab 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
    from Google Colab over 4 years ago
  • special_tokens_map.json
    1.79 kB
    from Google Colab over 4 years ago
  • spiece.model
    792 kB
    xet
    from Google Colab over 4 years ago
  • test.txt
    563 kB
    from Google Colab over 4 years ago
  • tokenizer.json
    2.42 MB
    from Google Colab over 4 years ago
  • tokenizer_config.json
    1.92 kB
    from Google Colab over 4 years ago