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dicta-il / dictabert-large-heq
Model's Last Updated: October 25 2024
question-answering
Introduction of dictabert-large-heq
Model Details of dictabert-large-heq
DictaBERT-Large: A State-of-the-Art BERT-Large Suite for Modern Hebrew
State-of-the-art language model for Hebrew, released here .
This is the fine-tuned BERT-large model for the question-answering task using the HeQ dataset.
For the bert-base models for other tasks, see here .
Sample usage:
from transformers import pipeline
oracle = pipeline('question-answering', model='dicta-il/dictabert-large-heq')
context = 'בניית פרופילים של משתמשים נחשבת על ידי רבים כאיום פוטנציאלי על הפרטיות. מסיבה זו הגבילו חלק מהמדינות באמצעות חקיקה את המידע שניתן להשיג באמצעות עוגיות ואת אופן השימוש בעוגיות. ארצות הברית, למשל, קבעה חוקים נוקשים בכל הנוגע ליצירת עוגיות חדשות. חוקים אלו, אשר נקבעו בשנת 2000, נקבעו לאחר שנחשף כי המשרד ליישום המדיניות של הממשל האמריקאי נגד השימוש בסמים (ONDCP) בבית הלבן השתמש בעוגיות כדי לעקוב אחרי משתמשים שצפו בפרסומות נגד השימוש בסמים במטרה לבדוק האם משתמשים אלו נכנסו לאתרים התומכים בשימוש בסמים. דניאל בראנט, פעיל הדוגל בפרטיות המשתמשים באינטרנט, חשף כי ה-CIA שלח עוגיות קבועות למחשבי אזרחים במשך עשר שנים. ב-25 בדצמבר 2005 גילה בראנט כי הסוכנות לביטחון לאומי (ה-NSA) השאירה שתי עוגיות קבועות במחשבי מבקרים בגלל שדרוג תוכנה. לאחר שהנושא פורסם, הם ביטלו מיד את השימוש בהן.'
question = 'כיצד הוגבל המידע שניתן להשיג באמצעות העוגיות?'
oracle(question=question, context=context)
Output:
{
"score": 0.9999945163726807,
"start": 101,
"end": 114,
"answer": "באמצעות חקיקה"
}
Citation
If you use DictaBERT in your research, please cite
DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
BibTeX:
@misc{shmidman2023dictabert,
title={DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew},
author={Shaltiel Shmidman and Avi Shmidman and Moshe Koppel},
year={2023},
eprint={2308.16687},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
License
Shield:
This work is licensed under a Creative Commons Attribution 4.0 International License .
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