dictabert-sentiment

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 release by the Israeli National Program for Hebrew and Arabic NLP.

For the bert-base models for other tasks, see here.

Sample usage:

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:

[
    {
        "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:

@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.