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benakrab
/
AraBART-AHS

Transformers
PyTorch
Arabic
mbart
text2text-generation
Summarization
Arabic Headline Dataset
AHS
AraBART
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use benakrab/AraBART-AHS with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("benakrab/AraBART-AHS")
    model = AutoModelForSeq2SeqLM.from_pretrained("benakrab/AraBART-AHS")
  • Notebooks
  • Google Colab
  • Kaggle
AraBART-AHS
561 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
benakrab's picture
benakrab
add bibtex citation provided by Springer
4c30ef3 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.98 kB
    add bibtex citation provided by Springer about 1 year ago
  • config.json
    1.48 kB
    add AraBART finetuned on AHS dataset - v1 about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    557 MB
    xet
    add AraBART finetuned on AHS dataset - v1 about 2 years ago
  • special_tokens_map.json
    279 Bytes
    add AraBART finetuned on AHS dataset - v1 about 2 years ago
  • tokenizer.json
    3.78 MB
    add AraBART finetuned on AHS dataset - v1 about 2 years ago
  • tokenizer_config.json
    441 Bytes
    add AraBART finetuned on AHS dataset - v1 about 2 years ago