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Update README.md

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@@ -11,16 +11,16 @@ We used a pretrained model to further train it on [HARD-Arabic-Dataset](https://
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  The model weights can be loaded using `transformers` library by HuggingFace.
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  ```python
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  from transformers import AutoTokenizer, AutoModel
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- tokenizer = AutoTokenizer.from_pretrained("MutazYoune/Arabic_DialectBERT")
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- model = AutoModel.from_pretrained("MutazYoune/Arabic_DialectBERT")
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  ```
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  Example using `pipeline`:
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  ```python
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  from transformers import pipeline
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  fill_mask = pipeline(
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  "fill-mask",
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- model="MutazYoune/Arabic_DialectBERT",
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- tokenizer="MutazYoune/Arabic_DialectBERT"
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  )
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  fill_mask("الفندق جميل و لكن [MASK] بعيد")
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  ```
 
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  The model weights can be loaded using `transformers` library by HuggingFace.
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  ```python
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  from transformers import AutoTokenizer, AutoModel
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+ tokenizer = AutoTokenizer.from_pretrained("MutazYoune/Ara_DialectBERT")
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+ model = AutoModel.from_pretrained("MutazYoune/Ara_DialectBERT")
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  ```
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  Example using `pipeline`:
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  ```python
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  from transformers import pipeline
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  fill_mask = pipeline(
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  "fill-mask",
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+ model="MutazYoune/Ara_DialectBERT",
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+ tokenizer="MutazYoune/Ara_DialectBERT"
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  )
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  fill_mask("الفندق جميل و لكن [MASK] بعيد")
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  ```