Transformers
PyTorch
Arabic
mbart
text2text-generation
Summarization
Arabic Headline Dataset
AHS
AraBART
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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7f66090d149ac8568843124bcab9a4d7d3acbd74d025062b8c333dac89d09ee
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size 557116464
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