primary_llm

🔍 Table of Contents

• 💻 Stack

• 📝 Project Summary

• ⚙️ Setting Up

• 🚀 Run Locally

• 🙌 Contributors

• 📄 License

💻 Stack

Include a concise explanation about the Tech Stack employed.

📝 Project Summary

• notebooks: Contains Jupyter Notebook files for data analysis and experimentation.
• data: Stores raw and processed data used in the project.
• models: Holds trained machine learning models for prediction or inference.
• scripts: Contains Python scripts for data preprocessing, model training, and evaluation.
• utils: Contains utility functions and classes used throughout the project.
• tests: Stores unit tests for verifying the correctness of code.
• docs: Contains project documentation, such as README files or user guides.
• config: Stores configuration files for setting up the project environment.
• results: Stores output files, logs, or visualizations generated during analysis.
• requirements: Contains the project's dependencies and package requirements.

⚙️ Setting Up

Your Environment Variable

• Step 1

• Step 2

🚀 Run Locally

1.Clone the primary_llm repository:

git clone https://github.com/sohomx/primary_llm

2.Install the dependencies with one of the package managers listed below:

Insert INSTALL commands 

3.Start the development mode:

Insert RUN commands 

🙌 Contributors

sohomx 33 contributions

📄 License

Add Your License