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fatmaserry
/
AraT5v2-arabic-summarization

Summarization
Transformers
Safetensors
Arabic
t5
text2text-generation
arabic
arabic-nlp
arat5
huggingface
fine-tuned
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use fatmaserry/AraT5v2-arabic-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fatmaserry/AraT5v2-arabic-summarization with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="fatmaserry/AraT5v2-arabic-summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("fatmaserry/AraT5v2-arabic-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("fatmaserry/AraT5v2-arabic-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
AraT5v2-arabic-summarization
1.48 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
fatmaserry's picture
fatmaserry
Update README.md
e559ac4 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    3.95 kB
    Update README.md 10 months ago
  • config.json
    835 Bytes
    Upload folder using huggingface_hub 11 months ago
  • generation_config.json
    112 Bytes
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  • model.safetensors
    1.47 GB
    xet
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  • special_tokens_map.json
    2.54 kB
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  • tokenizer.json
    8.4 MB
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  • tokenizer_config.json
    21.1 kB
    Upload folder using huggingface_hub 11 months ago