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UBC-NLP
/
AraT5v2-base-1024

Transformers
PyTorch
Arabic
t5
Arabic T5
MSA
Twitter
Arabic Dialect
Arabic Machine Translation
Arabic Text Summarization
Arabic News Title and Question Generation
Arabic Paraphrasing and Transliteration
Arabic Code-Switched Translation
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use UBC-NLP/AraT5v2-base-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UBC-NLP/AraT5v2-base-1024 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("UBC-NLP/AraT5v2-base-1024", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AraT5v2-base-1024
1.48 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 21 commits
elmadany's picture
elmadany
Update README.md
3c74d91 verified about 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.47 GB
    xet
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  • special_tokens_map.json
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  • spiece.model
    2.35 MB
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  • tokenizer.json
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  • tokenizer_config.json
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