Moran and Aviv project for solving Summarization task.
We choose 2 architectures: TextRank and BART (facebook). 
In Streamlit' application, you can enter your article as an input, and the output is a summary. 
Inspired by HIT studies. 
{}
transformers pytorch bart text2text-generation autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #bart #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #region-us 

Moran and Aviv project for solving Summarization task.
We choose 2 architectures: TextRank and BART (facebook). 
In Streamlit' application, you can enter your article as an input, and the output is a summary. 
Inspired by HIT studies. 
TAGS
#transformers #pytorch #bart #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #region-us 

passage: TAGS
#transformers #pytorch #bart #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #region-us 
