File size: 1,750 Bytes
3f7732f 4106c42 3f7732f 4106c42 a61e139 4106c42 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
license: cc-by-4.0
language:
- he
datasets:
- HebArabNlpProject/HebrewSentiment
---
# DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
State-of-the-art language model for Hebrew.
This is the fine-tuned BERT-base model for the sentiment-analysis task on the [HebrewSetniment dataset](https://huggingface.co/datasets/HebArabNlpProject/HebrewSentiment) release by the Israeli National Program for Hebrew and Arabic NLP.
For the bert-base models for other tasks, see [here](https://huggingface.co/collections/dicta-il/dictabert-6588e7cc08f83845fc42a18b).
Sample usage:
```python
from transformers import pipeline
oracle = pipeline('sentiment-analysis', model='dicta-il/dictabert-sentiment')
sentence = '''ืื ื ืืืื ืฉืื ืฉืืืืื ืืื ืืฉืืืจืจ ืืฉืืืืฉ ืืืคืฉื'''
oracle(sentence)
```
Output:
```json
[
{
"label": "Positive",
"score": 0.9999868869781494
}
]
```
## Citation
If you use DictaBERT in your research, please cite ```DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew```
**BibTeX:**
```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: [![CC BY 4.0][cc-by-shield]][cc-by]
This work is licensed under a
[Creative Commons Attribution 4.0 International License][cc-by].
[![CC BY 4.0][cc-by-image]][cc-by]
[cc-by]: http://creativecommons.org/licenses/by/4.0/
[cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png
[cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg |