AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis
Paper • 2403.12392 • Published
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("faisalq/bert-base-arapoembert")
model = AutoModelForMaskedLM.from_pretrained("faisalq/bert-base-arapoembert")Quick Links
AraPoemBERT is the first pre-trained large language model focused exclusively on Arabic poetry. The dataset used in pretraining the model contains more than 2 million verses. The code files along with the results are available on repo.
BibTex
If you use SaudiBERT model in your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows (citation details to be updated):
@article{qarah2024arapoembert,
title={AraPoemBERT: A Pretrained Language Model for Arabic Poetry Analysis},
author={Qarah, Faisal},
journal={arXiv preprint arXiv:2403.12392},
year={2024}
}
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="faisalq/bert-base-arapoembert")