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README.md

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 MT model trained using the friendly_JA Corpus attempting to make Japanese easier/more accessible to occidental people by using the Latin/English derived katakana lexicon instead of the standard Sino-Japanese lexicon
 
 We used sonoisa t5-base-japanese (https://huggingface.co/sonoisa/t5-base-japanese) as pretrained model and the friendly_JA corpus to fine-tune the friendly_JA model.
-We provide the pytorch model as well as the onnx quantized model.
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-We achieved a 66.80 Bleu Score performed on the pytorch model.
 
 
 # Examples