GPT2-Medium model QAC fine-tuned on SocialIQA dataset.

Based on Leveraging QA Datasets to Improve Generative Data Augmentation paper (by Mekala, Dheeraj and Vu, Tu and Schick, Timo and Shang, Jingb) and https://github.com/dheeraj7596/CONDA

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transformers pytorch gpt2 text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

GPT2-Medium model QAC fine-tuned on SocialIQA dataset.

Based on Leveraging QA Datasets to Improve Generative Data Augmentation paper (by Mekala, Dheeraj and Vu, Tu and Schick, Timo and Shang, Jingb) and URL

TAGS
#transformers #pytorch #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
