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IMISLab
/
GreekT5-umt5-small-greeksum

Summarization
Transformers
PyTorch
Greek
umt5
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use IMISLab/GreekT5-umt5-small-greeksum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IMISLab/GreekT5-umt5-small-greeksum with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="IMISLab/GreekT5-umt5-small-greeksum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("IMISLab/GreekT5-umt5-small-greeksum")
    model = AutoModelForSeq2SeqLM.from_pretrained("IMISLab/GreekT5-umt5-small-greeksum")
  • Notebooks
  • Google Colab
  • Kaggle
GreekT5-umt5-small-greeksum
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  • 1 contributor
History: 10 commits
IMISLab's picture
IMISLab
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  • README.md
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  • config.json
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  • generation_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.23 GB
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  • special_tokens_map.json
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  • spiece.model
    4.55 MB
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  • tokenizer.json
    16.8 MB
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  • tokenizer_config.json
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  • training_args.bin
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