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@@ -39,8 +39,8 @@ To use this model for translation tasks, you can load it from Hugging Face’s `
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  from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
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  # Load the fine-tuned model
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- model = M2M100ForConditionalGeneration.from_pretrained("HelpMum-Personal/AI-translator-9ja-to-eng")
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- tokenizer = M2M100Tokenizer.from_pretrained("HelpMum-Personal/AI-translator-9ja-to-eng")
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  # translate igbo to English
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  igbo_text="Nlekọta ahụike bụ mpaghara dị mkpa n'ihe fọrọ nke nta ka ọ bụrụ obodo ọ bụla n'ihi na ọ na-emetụta ọdịmma na ịdịmma ndụ nke ndị mmadụ n'otu n'otu. Ọ gụnyere ọtụtụ ọrụ na ọrụ dị iche iche, gụnyere nlekọta mgbochi, nchoputa, ọgwụgwọ na njikwa ọrịa na ọnọdụ. Usoro nlekọta ahụike dị mma na-achọ imeziwanye nsonaazụ ahụike, belata ọrịa ọrịa, yana hụ na ndị mmadụ n'otu n'otu nwere ohere ịnweta ọrụ ahụike dị mkpa."
 
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  from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
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  # Load the fine-tuned model
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+ model = M2M100ForConditionalGeneration.from_pretrained("HelpMumHQ/AI-translator-9ja-to-eng")
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+ tokenizer = M2M100Tokenizer.from_pretrained("HelpMumHQ/AI-translator-9ja-to-eng")
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  # translate igbo to English
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  igbo_text="Nlekọta ahụike bụ mpaghara dị mkpa n'ihe fọrọ nke nta ka ọ bụrụ obodo ọ bụla n'ihi na ọ na-emetụta ọdịmma na ịdịmma ndụ nke ndị mmadụ n'otu n'otu. Ọ gụnyere ọtụtụ ọrụ na ọrụ dị iche iche, gụnyere nlekọta mgbochi, nchoputa, ọgwụgwọ na njikwa ọrịa na ọnọdụ. Usoro nlekọta ahụike dị mma na-achọ imeziwanye nsonaazụ ahụike, belata ọrịa ọrịa, yana hụ na ndị mmadụ n'otu n'otu nwere ohere ịnweta ọrụ ahụike dị mkpa."