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--- |
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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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State-of-the-art language model for Hebrew, as released [here](link to arxiv). |
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This is the fine-tuned model for the prefix segmentation task. |
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Sample usage: |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained('dicta-il/dictabert-seg') |
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model = AutoModel.from_pretrained('dicta-il/dictabert-seg', trust_remote_code=True) |
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model.eval() |
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sentence = '讘砖谞转 1948 讛砖诇讬诐 讗驻专讬诐 拽讬砖讜谉 讗转 诇讬诪讜讚讬讜 讘驻讬住讜诇 诪转讻转 讜讘转讜诇讚讜转 讛讗诪谞讜转 讜讛讞诇 诇驻专住诐 诪讗诪专讬诐 讛讜诪讜专讬住讟讬讬诐' |
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print(model.predict([sentence], tokenizer)) |
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``` |
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Output: |
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```json |
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[ |
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[ |
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[ "[CLS]" ], |
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[ "讘","砖谞转" ], |
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[ "1948" ], |
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[ "讛砖诇讬诐" ], |
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[ "讗驻专讬诐" ], |
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[ "拽讬砖讜谉" ], |
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[ "讗转" ], |
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[ "诇讬诪讜讚讬讜" ], |
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[ "讘","驻讬住讜诇" ], |
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[ "诪转讻转" ], |
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[ "讜讘","转讜诇讚讜转" ], |
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[ "讛","讗诪谞讜转" ], |
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[ "讜","讛讞诇" ], |
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[ "诇驻专住诐" ], |
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[ "诪讗诪专讬诐" ], |
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[ "讛讜诪讜专讬住讟讬讬诐" ], |
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[ "[SEP]" ] |
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] |
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] |
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``` |
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## Citation |
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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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**BibTeX:** |
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To add |
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## License |
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Shield: [![CC BY 4.0][cc-by-shield]][cc-by] |
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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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[![CC BY 4.0][cc-by-image]][cc-by] |
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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 |
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