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1>>> ! wget https://huggingface.co/kargaranamir/Hengam/raw/main/utils.py
2>>> ! wget https://huggingface.co/kargaranamir/Hengam/raw/main/requirements.txt
3>>> ! pip install -r requirements.txt1>>> import torch
2>>> from huggingface_hub import hf_hub_download
3>>> from utils import *
4
5>>> # HengamTransW = hf_hub_download(repo_id="kargaranamir/Hengam", filename="HengamTransW.pth")
6>>> HengamTransA = hf_hub_download(repo_id="kargaranamir/Hengam", filename="HengamTransA.pth")1>>> # ner = NER(model_path=HengamTransW, tags=['B-TIM', 'I-TIM', 'B-DAT', 'I-DAT', 'O'])
2>>> ner = NER(model_path=HengamTransA, tags=['B-TIM', 'I-TIM', 'B-DAT', 'I-DAT', 'O'])
3>>> ner('.سلام من و دوستم ساعت ۸ صبح روز سه شنبه رفتیم دوشنبه بازار ')
4
5[{'Text': 'ساعت', 'Tag': 'B-TIM', 'Start': 17, 'End': 21},
6 {'Text': '۸', 'Tag': 'I-TIM', 'Start': 22, 'End': 23},
7 {'Text': 'صبح', 'Tag': 'I-TIM', 'Start': 24, 'End': 27},
8 {'Text': 'روز', 'Tag': 'I-TIM', 'Start': 28, 'End': 31},
9 {'Text': 'سه', 'Tag': 'B-DAT', 'Start': 32, 'End': 34},
10 {'Text': 'شنبه', 'Tag': 'I-DAT', 'Start': 35, 'End': 39}]1@inproceedings{mirzababaei-etal-2022-hengam,
2 title = {Hengam: An Adversarially Trained Transformer for {P}ersian Temporal Tagging},
3 author = {Mirzababaei, Sajad and Kargaran, Amir Hossein and Sch{\"u}tze, Hinrich and Asgari, Ehsaneddin},
4 year = 2022,
5 booktitle = {Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
6 publisher = {Association for Computational Linguistics},
7 address = {Online only},
8 pages = {1013--1024},
9 url = {https://aclanthology.org/2022.aacl-main.74}
10}