Update README.md

Author: eitansela

hebert-sentiment-analysis-inference-docker-lambda/README.md

@@ -4,6 +4,8 @@ This example illustrates how to serve HeBERT model on Lambda Function for sentim
 
 ### HeBERT: Pre-trained BERT for Polarity Analysis and Emotion Recognition
 
+HeBERT is a Hebrew pretrained language model. It is based on Google's BERT architecture and it is BERT-Base config
+
 Chriqui, A., & Yahav, I. (2021). HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition. arXiv preprint arXiv:2102.01909.
 ```
 @article{chriqui2021hebert,
@@ -17,7 +19,6 @@ Chriqui, A., & Yahav, I. (2021). HeBERT & HebEMO: a Hebrew BERT Model and a Tool
 This project contains source code and supporting files for a serverless application that you can deploy with the SAM CLI. It includes the following files and folders.
 
 - app - Code for the application's Lambda function.
-- model - Code for downloading and saving resnet34 pre-trained model.
 - events - Invocation events that you can use to invoke the function.
 - template.yaml - A template that defines the application's AWS resources.