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josh-oo
/
mbart-decoder-easy

Transformers
PyTorch
mbart
text2text-generation
Model card Files Files and versions
xet
Community
2

Instructions to use josh-oo/mbart-decoder-easy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use josh-oo/mbart-decoder-easy with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("josh-oo/mbart-decoder-easy")
    model = AutoModelForSeq2SeqLM.from_pretrained("josh-oo/mbart-decoder-easy")
  • Notebooks
  • Google Colab
  • Kaggle
mbart-decoder-easy
2.45 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
josh-oo's picture
josh-oo
Trained on denoising task
0afac43 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.39 kB
    Trained on denoising task about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.44 GB
    xet
    Trained on denoising task about 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Initial upload about 3 years ago
  • special_tokens_map.json
    641 Bytes
    Initial upload about 3 years ago
  • tokenizer_config.json
    584 Bytes
    Initial upload about 3 years ago