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Update README.md

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  ---
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  # Model Card for Model ID
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- ## nllb-200-600M-En-Ar-finetuned
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  This model is a fine-tuned version of the NLLB-200-600M model, specifically adapted for translating from English to Egyptian Arabic. Fine-tuned on a custom dataset of 12,000 samples, it aims to provide high-quality translations that capture the nuances and colloquial expressions of Egyptian Arabic.
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@@ -23,7 +23,7 @@ To use this model for translation, you can load it with the `transformers` libra
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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- model_name = "Mhassanen/nllb-200-600M-En-Ar-finetuned"
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  tokenizer = AutoTokenizer.from_pretrained(model_name, src_lang="eng_Latn", tgt_lang="arz_Arab")
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  model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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  ---
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  # Model Card for Model ID
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+ ## nllb-200-600M-En-Ar
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  This model is a fine-tuned version of the NLLB-200-600M model, specifically adapted for translating from English to Egyptian Arabic. Fine-tuned on a custom dataset of 12,000 samples, it aims to provide high-quality translations that capture the nuances and colloquial expressions of Egyptian Arabic.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ model_name = "Mhassanen/nllb-200-600M-En-Ar"
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  tokenizer = AutoTokenizer.from_pretrained(model_name, src_lang="eng_Latn", tgt_lang="arz_Arab")
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  model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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