
This is https://huggingface.co/sberbank-ai/rugpt3large_based_on_gpt2 model, fine-tuned on the questions of CHGK (Что? Где? Когда? https://db.chgk.info/) 

Dataset: 75 000 questions from 2000-2019

Trained for 5 epochs 
{"language": ["ru"], "tags": ["PyTorch", "Transformers", "text-generation"], "widget": [{"text": "\u0418\u0437\u0432\u0435\u0441\u0442\u043d\u044b\u0439 \u0447\u0435\u043b\u043e\u0432\u0435\u043a"}], "inference": {"parameters": {"max_length": 60, "do_sample": true, "temperature": 0.6, "no_repeat_ngram_size": 2}}}
transformers pytorch gpt2 text-generation PyTorch Transformers ru autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #PyTorch #Transformers #ru #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


This is URL model, fine-tuned on the questions of CHGK (Что? Где? Когда? URL 

Dataset: 75 000 questions from 2000-2019

Trained for 5 epochs 
TAGS
#transformers #pytorch #gpt2 #text-generation #PyTorch #Transformers #ru #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #gpt2 #text-generation #PyTorch #Transformers #ru #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
