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moussaKam
/
AraBART

Fill-Mask
Transformers
PyTorch
Arabic
mbart
feature-extraction
summarization
bart
Model card Files Files and versions
xet
Community
2

Instructions to use moussaKam/AraBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use moussaKam/AraBART with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="moussaKam/AraBART")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("moussaKam/AraBART")
    model = AutoModel.from_pretrained("moussaKam/AraBART")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
AraBART
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
moussaKam's picture
moussaKam
Update README.md
cb67d61 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    625 Bytes
    Update README.md about 4 years ago
  • config.json
    1.39 kB
    First model version 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?

    557 MB
    xet
    First model version about 4 years ago
  • sentencepiece.bpe.model
    1.32 MB
    xet
    First model version about 4 years ago