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README.md

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 # Machine Translation Model: English ↔ Tigrinya
 
 This model is a fine-tuned machine translation model trained to translate between English and Tigrinya. It was trained on the parallel corpus of English and Tigrinya sentences.
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 translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
 
 print(f"Translated text: {translated_text}")
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-##  Model Card
-
-This model is trained to handle general English to Tigrinya translation tasks. It is suitable for a wide range of text, but might not perform well on domain-specific language or specialized terminology unless fine-tuned further.
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-##Model Architecture
-The model is based on the MarianMT architecture, a transformer model designed for multilingual machine translation. It has been fine-tuned on English ↔ Tigrinya data.
-##Acknowledgements
-Corpus Name: NLLB
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-Package: NLLB.am-en in Moses format
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-Website: NLLB Corpus
-
-If you use this model or the NLLB corpus in your work, please cite it as follows:
-=======
-# MachineT_TigEng
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-license: mit
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