# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("moussaKam/AraBART")
model = AutoModel.from_pretrained("moussaKam/AraBART")Quick Links
AraBART is the first Arabic model in which the encoder and the decoder are pretrained end-to-end, based on BART. AraBART follows the architecture of BART-Base which has 6 encoder and 6 decoder layers and 768 hidden dimensions. In total AraBART has 139M parameters.
AraBART achieves the best performance on multiple abstractive summarization datasets, outperforming strong baselines including a pretrained Arabic BERT-based models and multilingual mBART and mT5 models.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="moussaKam/AraBART")