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  license: cc-by-4.0
 
 
 
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  license: cc-by-4.0
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+ language:
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+ - he
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+ inference: false
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  ---
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+ # DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
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+
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+ State-of-the-art language model for Hebrew, released [here](https://arxiv.org/abs/2308.16687).
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+
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+ This is the fine-tuned model for the joint parsing of the following tasks:
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+
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+ - Prefix Segmentation
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+ - Morphological Disabmgiuation
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+ - Lexicographical Analysis (Lemmatization)
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+ - Syntactical Parsing (Dependency-Tree)
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+ - Named-Entity Recognition
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+
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+ For the bert-base models for other tasks, see [here](https://huggingface.co/collections/dicta-il/dictabert-6588e7cc08f83845fc42a18b).
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+
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+ Sample usage:
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+
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+ ```python
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+ from transformers import AutoModel, AutoTokenizer
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+
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+ tokenizer = AutoTokenizer.from_pretrained('dicta-il/dictabert-joint')
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+ model = AutoModel.from_pretrained('dicta-il/dictabert-joint', trust_remote_code=True)
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+
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+ model.eval()
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+
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+ sentence = 'ื‘ืฉื ืช 1948 ื”ืฉืœื™ื ืืคืจื™ื ืงื™ืฉื•ืŸ ืืช ืœื™ืžื•ื“ื™ื• ื‘ืคื™ืกื•ืœ ืžืชื›ืช ื•ื‘ืชื•ืœื“ื•ืช ื”ืืžื ื•ืช ื•ื”ื—ืœ ืœืคืจืกื ืžืืžืจื™ื ื”ื•ืžื•ืจื™ืกื˜ื™ื™ื'
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+ print(model.predict([sentence], tokenizer))
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+ ```
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+
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+ Output:
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+ ```json
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+ TBD
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+ ```
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+
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+
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+ ## Citation
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+
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+ If you use DictaBERT in your research, please cite ```DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew```
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+
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+ **BibTeX:**
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+
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+ ```bibtex
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+ @misc{shmidman2023dictabert,
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+ title={DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew},
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+ author={Shaltiel Shmidman and Avi Shmidman and Moshe Koppel},
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+ year={2023},
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+ eprint={2308.16687},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```
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+
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+ ## License
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+
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+ Shield: [![CC BY 4.0][cc-by-shield]][cc-by]
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+
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+ This work is licensed under a
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+ [Creative Commons Attribution 4.0 International License][cc-by].
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+
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+ [![CC BY 4.0][cc-by-image]][cc-by]
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+
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+ [cc-by]: http://creativecommons.org/licenses/by/4.0/
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+ [cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png
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+ [cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg