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bert-fa-zwnj-base
HooshvareLab/bert-fa-zwnj-base
bert-fa-zwnj-base is a fill-mask model from HooshvareLab. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
A Transformer-based Model for Persian Language Understanding
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 18, 2021
- SHA
- 3880fac0
Try a prompt
Model card
From the Hugging Face model README
ParsBERT (v3.0)
A Transformer-based Model for Persian Language Understanding
The new version of BERT v3.0 for Persian is available today and can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary.
Introduction
ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre-trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news).
Paper presenting ParsBERT: arXiv:2005.12515
BibTeX entry and citation info
Please cite in publications as the following:
@article{ParsBERT,
title={ParsBERT: Transformer-based Model for Persian Language Understanding},
author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
journal={ArXiv},
year={2020},
volume={abs/2005.12515}
}
Questions?
Post a Github issue on the ParsBERT Issues repo.
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- fa
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- May 18, 2021