snapADDY/machine-learning-sample-project
Exemplary lightweight and ready-to-deploy machine learning project
This project provides a pre-built template for deploying machine learning models that classify text. You input a piece of text, and the system outputs a classification label (e.g., "show," "album," "painting") along with a confidence probability. It's designed for machine learning engineers or MLOps specialists who need a streamlined way to get models into production.
No commits in the last 6 months.
Use this if you need a quick, standardized framework to deploy a lightweight machine learning text classification model as a web service.
Not ideal if you're looking for a pre-trained model for a specific business problem or a no-code solution for data analysis.
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8
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1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 31, 2024
Commits (30d)
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