# rugpt2large
Model was trained with sequence length 1024 using transformers by [SberDevices](https://sberdevices.ru/) team on 170Gb data on 64 GPUs 3 weeks.

{"language": ["ru"], "tags": ["PyTorch", "Transformers"], "thumbnail": "https://github.com/sberbank-ai/ru-gpts"}
transformers pytorch gpt2 PyTorch Transformers ru endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #PyTorch #Transformers #ru #endpoints_compatible #text-generation-inference #region-us 

# rugpt2large
Model was trained with sequence length 1024 using transformers by SberDevices team on 170Gb data on 64 GPUs 3 weeks.

# rugpt2large
Model was trained with sequence length 1024 using transformers by SberDevices team on 170Gb data on 64 GPUs 3 weeks.
TAGS
#transformers #pytorch #gpt2 #PyTorch #Transformers #ru #endpoints_compatible #text-generation-inference #region-us 
 # rugpt2large
Model was trained with sequence length 1024 using transformers by SberDevices team on 170Gb data on 64 GPUs 3 weeks.
passage: TAGS
#transformers #pytorch #gpt2 #PyTorch #Transformers #ru #endpoints_compatible #text-generation-inference #region-us 
# rugpt2large
Model was trained with sequence length 1024 using transformers by SberDevices team on 170Gb data on 64 GPUs 3 weeks.