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RAYZ
/
t5-pegasus-mixed

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

Instructions to use RAYZ/t5-pegasus-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RAYZ/t5-pegasus-mixed with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("RAYZ/t5-pegasus-mixed")
    model = AutoModelForSeq2SeqLM.from_pretrained("RAYZ/t5-pegasus-mixed")
  • Notebooks
  • Google Colab
  • Kaggle
t5-pegasus-mixed
1.1 GB
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  • 1 contributor
History: 3 commits
RAYZ's picture
RAYZ
add model
97611a1 over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • config.json
    738 Bytes
    add model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.1 GB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 3 years ago
  • tokenizer_config.json
    410 Bytes
    add tokenizer over 3 years ago
  • vocab.txt
    374 kB
    add tokenizer over 3 years ago