This repository is a hands-on guide for automating the ML lifecycle. It demonstrates how to use GitHub Actions to automate the training, evaluation, and deployment of a drug classification model directly to Hugging Face Spaces.
Source Repository: kingabzpro/CICD-for-Machine-Learning
- Automated Training: Retrains the model whenever new data is pushed.
- Model Evaluation: Checks performance metrics before deployment.
- Seamless Deployment: Syncs the model and Gradio/Streamlit app to Hugging Face.
