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xfbai
/
AMRBART-large-finetuned-AMR2.0-AMRParsing

Transformers
PyTorch
English
bart
text2text-generation
AMRBART
Model card Files Files and versions
xet
Community
2

Instructions to use xfbai/AMRBART-large-finetuned-AMR2.0-AMRParsing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xfbai/AMRBART-large-finetuned-AMR2.0-AMRParsing with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("xfbai/AMRBART-large-finetuned-AMR2.0-AMRParsing")
    model = AutoModelForSeq2SeqLM.from_pretrained("xfbai/AMRBART-large-finetuned-AMR2.0-AMRParsing")
  • Notebooks
  • Google Colab
  • Kaggle
AMRBART-large-finetuned-AMR2.0-AMRParsing
Ctrl+K
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  • 2 contributors
History: 3 commits
Xuefeng Bai
Update README.md
2d1fc8b about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    1.75 kB
    Update README.md about 4 years ago
  • config.json
    1.67 kB
    initial commit about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.64 GB
    xet
    initial commit about 4 years ago