sentiment_analysis

Sentiment Analysis Model with JFrog ML

Overview

This project employs the Sentiment Analysis. It's implemented using the JFrog ML.

Features

How to Run Remotely on JFrog ML

1. Build on the JFrog ML Platform:

   Create a new model on JFrog ML using the command:

   qwak models create "Sentiment Analysis" --project "Sample Project"

   Initiate a model build with:

   qwak models build --model-id <your-model-id> ./main

2. Deploy the Model on the JFrog ML Platform with a Real-Time Endpoint:

   To deploy your model via the CLI, use the following command:

   qwak models deploy realtime --model-id <your-model-id> --build-id <your-build-id>

Project Structure

.
├── main                   # Main directory containing core code
│   ├── finetuning.py      # Fine-tuning script
│   ├── model.py           # Defines the Sentiment Analysis Model
│   └── poetry.yaml        # Poetry configuration file
|   └── pyproject.toml    
└── README.md              # Documentation