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@@ -18,4 +18,16 @@ from transformers import AutoModelForMaskedLM, AutoTokenizer
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  tokenizer = AutoTokenizer.from_pretrained('HeNLP/HeRo')
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  model = AutoModelForMaskedLM.from_pretrained('HeNLP/HeRo')
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tokenizer = AutoTokenizer.from_pretrained('HeNLP/HeRo')
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  model = AutoModelForMaskedLM.from_pretrained('HeNLP/HeRo')
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+ ```
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+
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+ ### Citing
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+
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+ If you use `HeRo in your research, please cite [HeRo: RoBERTa and Longformer Hebrew Language Models](http://arxiv.org/abs/2304.11077).
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+ ```
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+ @article{shalumov2023hero,
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+ title={HeRo: RoBERTa and Longformer Hebrew Language Models},
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+ author={Vitaly Shalumov and Harel Haskey},
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+ year={2023},
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+ journal={2304.11077},
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+ }
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+ ```