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abdalrahmanshahrour
/
ArabicSummarizer

Transformers
PyTorch
Arabic
encoder-decoder
text2text-generation
AraBERT
BERT
BERT2BERT
MSA
Arabic Text Summarization
Arabic News Title Generation
Arabic Paraphrasing
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use abdalrahmanshahrour/ArabicSummarizer with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("abdalrahmanshahrour/ArabicSummarizer")
    model = AutoModelForSeq2SeqLM.from_pretrained("abdalrahmanshahrour/ArabicSummarizer")
  • Notebooks
  • Google Colab
  • Kaggle
ArabicSummarizer
773 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
abdalrahmanshahrour's picture
abdalrahmanshahrour
Update README.md
c14aea4 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.41 kB
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  • config.json
    4.33 kB
    Upload 9 files over 3 years ago
  • pytorch_model.bin
    134 Bytes
    xet
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  • scheduler.pt
    128 Bytes
    xet
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer_config.json
    381 Bytes
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  • trainer_state.json
    2.99 kB
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  • training_args.bin
    129 Bytes
    xet
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  • vocab.txt
    761 kB
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