Skip to content

Latest commit

 

History

History
43 lines (30 loc) · 752 Bytes

File metadata and controls

43 lines (30 loc) · 752 Bytes

Sentiment Classifier

ML training pipeline for sentiment classification using transformer models.

Prerequisites

  • Python 3.11+
  • Git
  • 8GB+ RAM
  • (Optional) NVIDIA GPU with CUDA 11.8+

Quick Setup

TODO: Add step-by-step setup instructions

Include:

1. Clone repository

2. Run setup script

3. Configure .env

4. Verify setup

Development

TODO: Add common development tasks

- Running training

- Running tests

- Code formatting

- Type checking

Project Structure

TODO: Document directory structure

Explain purpose of each directory

Configuration

TODO: Explain configuration system

- Environment variables

- Config files

- Precedence order

Troubleshooting

TODO: Add common issues and solutions