
This model has been trained by the original authors of the paper [(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.](https://www.semanticscholar.org/paper/COMET-ATOMIC-2020%3A-On-Symbolic-and-Neural-Knowledge-Hwang-Bhagavatula/e39503e01ebb108c6773948a24ca798cd444eb62) and has been released [here](https://storage.googleapis.com/ai2-mosaic-public/projects/mosaic-kgs/comet-atomic_2020_BART.zip). Original codebase for training is [here](https://github.com/allenai/comet-atomic-2020)
{"license": "afl-3.0"}
transformers pytorch bart text2text-generation license:afl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text2text-generation #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 


This model has been trained by the original authors of the paper (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. and has been released here. Original codebase for training is here
TAGS
#transformers #pytorch #bart #text2text-generation #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bart #text2text-generation #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
