feat add readme

README.md

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+---
+language:
+- ru
+- zh
+- en
+tags:
+- translation
+license: apache-2.0
+datasets:
+- ccmatrix
+metrics:
+- sacrebleu
+---
+
+# T5 English, Russian and Chinese multilingual machine translation
+
+This model represents a conventional T5 transformer in multitasking mode for translation into the required language, precisely configured for machine translation for pairs: ru-zh, zh-ru, en-zh, zh-en, en-ru, ru-en.
+
+The model can perform direct translation between any pair of Russian, Chinese or English languages. For translation into the target language, the target language identifier is specified as a prefix 'translate to <lang>:'. In this case, the source language may not be specified, in addition, the source text may be multilingual.
+
+Example translate Russian to Chinese
+
+```python
+from transformers import T5ForConditionalGeneration, T5TokenizerFast
+
+model_name = 'utrobinmv/t5_translate_en_ru_zh_small_1024'
+model = T5ForConditionalGeneration.from_pretrained(model_name)
+tokenizer = T5Tokenizer.from_pretrained(model_name)
+
+prefix = 'translate to zh: '
+src_text = prefix + "Цель разработки — предоставить пользователям личного синхронного переводчика."
+
+# translate Russian to Chinese
+input_ids = tokenizer(src_text, return_tensors="pt")
+
+generated_tokens = model.generate(**input_ids)
+
+result = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+print(result)
+#开发的目的就是向用户提供个性化的同步翻译。
+```
+
+
+
+and Example translate Chinese to Russian
+
+```python
+from transformers import T5ForConditionalGeneration, T5TokenizerFast
+
+model_name = 'utrobinmv/t5_translate_en_ru_zh_small_1024'
+model = T5ForConditionalGeneration.from_pretrained(model_name)
+tokenizer = T5Tokenizer.from_pretrained(model_name)
+
+prefix = 'translate to ru: '
+src_text = prefix + "开发的目的就是向用户提供个性化的同步翻译。"
+
+# translate Russian to Chinese
+input_ids = tokenizer(src_text, return_tensors="pt")
+
+generated_tokens = model.generate(**input_ids)
+
+result = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+print(result)
+#Цель разработки - предоставить персонализированный синхронный перевод для пользователей.
+```
+
+
+
+##  
+
+
+
+## Languages covered
+
+Russian (ru_RU), Chinese (zh_CN), English (en_US)