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@@ -29,8 +29,6 @@ this model achieves the following results:
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  |:----:|:----:|:----:|:----:|:-----:|:----:|:-----:|
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  | Fill-Mask| 10010| 1 | 64 | 157 | 2m 2s | 9.0183 |
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- ### BibTeX entry and citation info
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-
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  ## Load Pretrained Model
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@@ -42,7 +40,8 @@ tokenizer = AutoTokenizer.from_pretrained("Ebtihal/AraBertMo_base_V1")
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  model = AutoModelForMaskedLM.from_pretrained("Ebtihal/AraBertMo_base_V1")
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  ```
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- - This model was built for master's degree research in an organization:
 
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  - [University of kufa](https://uokufa.edu.iq/).
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  - [Faculty of Computer Science and Mathematics](https://mathcomp.uokufa.edu.iq/).
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  - **Department of Computer Science**
 
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  |:----:|:----:|:----:|:----:|:-----:|:----:|:-----:|
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  | Fill-Mask| 10010| 1 | 64 | 157 | 2m 2s | 9.0183 |
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  ## Load Pretrained Model
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  model = AutoModelForMaskedLM.from_pretrained("Ebtihal/AraBertMo_base_V1")
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  ```
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+
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+ ## This model was built for master's degree research in an organization:
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  - [University of kufa](https://uokufa.edu.iq/).
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  - [Faculty of Computer Science and Mathematics](https://mathcomp.uokufa.edu.iq/).
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  - **Department of Computer Science**