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sagawa
/
ReactionT5v1-yield

Transformers
PyTorch
English
t5
chemistry
SMILES
yield
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use sagawa/ReactionT5v1-yield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sagawa/ReactionT5v1-yield with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, ReactionT5Yield
    
    tokenizer = AutoTokenizer.from_pretrained("sagawa/ReactionT5v1-yield")
    model = ReactionT5Yield.from_pretrained("sagawa/ReactionT5v1-yield")
  • Notebooks
  • Google Colab
  • Kaggle
ReactionT5v1-yield
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  • 1 contributor
History: 13 commits
sagawa's picture
sagawa
Update README.md
c767555 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    5.76 kB
    Update README.md almost 2 years ago
  • config.json
    806 Bytes
    Upload 5 files almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    802 MB
    xet
    Upload 5 files almost 3 years ago
  • special_tokens_map.json
    2.25 kB
    Upload 5 files almost 3 years ago
  • tokenizer.json
    29.3 kB
    Upload 5 files almost 3 years ago
  • tokenizer_config.json
    2.37 kB
    Upload 5 files almost 3 years ago