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@@ -18,3 +18,20 @@ from transformers import AutoTokenizer, AutoModelForMaskedLM
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  tokenizer = AutoTokenizer.from_pretrained("burakaytan/roberta-base-turkish-uncased")
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  model = AutoModelForMaskedLM.from_pretrained("burakaytan/roberta-base-turkish-uncased")
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tokenizer = AutoTokenizer.from_pretrained("burakaytan/roberta-base-turkish-uncased")
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  model = AutoModelForMaskedLM.from_pretrained("burakaytan/roberta-base-turkish-uncased")
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  ```
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+
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+
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+ ## Citation and Related Information
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+
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+ To cite this model:
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+ ```bibtex
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+
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+ @INPROCEEDINGS{9509771,
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+ author={Aytan, Burak and Sakar, C. Okan},
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+ booktitle={2022 30th Signal Processing and Communications Applications Conference (SIU)},
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+ title={Comparison of Transformer-Based Models Trained in Turkish and Different Languages on Turkish Natural Language Processing Problems},
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+ year={2022},
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+ volume={},
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+ number={},
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+ pages={},
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+ doi={}}
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+ ```