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xfbai
/
AMRBART-large

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

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

  • Libraries
  • Transformers

    How to use xfbai/AMRBART-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("xfbai/AMRBART-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("xfbai/AMRBART-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AMRBART-large
1.64 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
muyeby
initial commit
d64f44f over 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • README.md
    21 Bytes
    initial commit over 4 years ago
  • config.json
    1.68 kB
    initial commit over 4 years ago
  • merges.txt
    456 kB
    initial commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.64 GB
    xet
    initial commit over 4 years ago
  • special_tokens_map.json
    338 Bytes
    initial commit over 4 years ago
  • tokenizer_config.json
    1.22 kB
    initial commit over 4 years ago
  • vocab.json
    979 kB
    initial commit over 4 years ago