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## Serverless HeBERT Model Serving for sentiment analysis in Hebrew
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## Serverless HeBERT Model Serving for Sentiment Analysis in Hebrew
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This example illustrates how to serve HeBERT model on Lambda Function for sentiment analysis in Hebrew.
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This example illustrates how to serve HeBERT model on a Lambda Function for sentiment analysis in Hebrew.
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### HeBERT: Pre-trained BERT for Polarity Analysis and Emotion Recognition
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HeBERT is a Hebrew pretrained language model. It is based on Google's BERT architecture and it is BERT-Base config
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HeBERT is a Hebrew pretrained language model. It is based on Google's BERT architecture and it is BERT-Based config.
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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.
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[Link to GitHub repository](https://github.com/avichaychriqui/HeBERT)
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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.
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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:
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- app - Code for the application's Lambda function.
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- events - Invocation events that you can use to invoke the function.
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