This is https://huggingface.co/sberbank-ai/ruT5-base model, fine-tuned to answer ChGK questions (Что? Где? Когда? https://db.chgk.info/)

Dataset: 75 000 questions from 2000-2019

Trained for 10 epochs 
{"language": ["ru"], "tags": ["PyTorch", "Transformers"], "widget": [{"text": "\u041e\u0442\u0432\u0435\u0442\u044c\u0442\u0435 \u0434\u0432\u0443\u043c\u044f \u0441\u043b\u043e\u0432\u0430\u043c\u0438, \u0447\u0442\u043e \u043c\u044b \u0437\u0430\u043c\u0435\u043d\u0438\u043b\u0438 \u043d\u0430 \u0418\u041a\u0421?"}], "inference": {"parameters": {"do_sample": true, "temperature": 0.8}}}
transformers pytorch t5 text2text-generation PyTorch Transformers ru autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #PyTorch #Transformers #ru #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

This is URL model, fine-tuned to answer ChGK questions (Что? Где? Когда? URL

Dataset: 75 000 questions from 2000-2019

Trained for 10 epochs 
TAGS
#transformers #pytorch #t5 #text2text-generation #PyTorch #Transformers #ru #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #t5 #text2text-generation #PyTorch #Transformers #ru #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
