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ieuniversity
/
sciencebrief_summarization

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

Instructions to use ieuniversity/sciencebrief_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ieuniversity/sciencebrief_summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ieuniversity/sciencebrief_summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("ieuniversity/sciencebrief_summarization")
  • Notebooks
  • Google Colab
  • Kaggle
sciencebrief_summarization
310 MB
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  • 1 contributor
History: 3 commits
jjuarez's picture
jjuarez
Upload 3 files
417ba4f about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    23 Bytes
    initial commit about 3 years ago
  • config.json
    1.53 kB
    Upload 3 files about 3 years ago
  • generation_config.json
    112 Bytes
    Upload 3 files about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    308 MB
    xet
    Upload 3 files about 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload 3 files about 3 years ago
  • tokenizer.json
    2.42 MB
    Upload 3 files about 3 years ago
  • tokenizer_config.json
    2.5 kB
    Upload 3 files about 3 years ago