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README.md
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license: cc-by-4.0
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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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---
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# OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature
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New language model for Hebrew designed specifically for identifying suffixed verbal forms in Modern Hebrew, released [here](https://arxiv.org/abs/2308.16687).
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This is the base model pretrained with the masked-language-modeling objective.
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This model was trained with a special tokenizer which combines the bound suffix of an object pronoun into a single unit (e.g., `ืจืืืชื ืืืชื` becomes one unit), and was trained to predict those items during the mask prediction stage as well. For more details, please check out the paper listed on this page.
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Sample usage:
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```python
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from transformers import AutoModelForMaskedLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained('dicta-il/otobert')
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model = AutoModelForMaskedLM.from_pretrained('dicta-il/otobert')
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model.eval()
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sentence = 'ืื ื ืื ืืืื ืืืืื ืื ืืชื [MASK] ืืืืจืื ื.' # Supposed to be ืจืืืชื ืืืชื
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output = model(tokenizer.encode(sentence, return_tensors='pt'))
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# the [MASK] is the 7th token (including [CLS])
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import torch
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top_2 = torch.topk(output.logits[0, 7, :], 2)[1]
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print('\n'.join(tokenizer.convert_ids_to_tokens(top_2))) # should print ื ืคืืฉื ื / ืจืืืชื_ืืืชื
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```
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## Citation
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If you use OtoBERT in your research, please cite ```OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature```
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**BibTeX:**
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```bibtex
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tbd
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```
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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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