README.md

---
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 = '''אני מאוד שמח שהמודל הזה משוחרר לשימוש חופשי'''
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

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This work is licensed under a
[Creative Commons Attribution 4.0 International License][cc-by].

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