victorbai2/TFpackageText
mini-framework for model training and deployment
This package helps machine learning engineers and data scientists quickly set up and deploy text-based deep learning models. It streamlines the entire process from training models on multiple GPUs to serving them via APIs. Users can input raw text data and configure model parameters, then get back trained models ready for inference and deployment.
No commits in the last 6 months.
Use this if you need a structured way to train, evaluate, and deploy text-based deep learning models, especially if you plan to serve them through APIs.
Not ideal if you are working with non-textual data or if you need a simpler, less opinionated framework for basic model experimentation without deployment considerations.
Stars
13
Forks
7
Language
Python
License
MIT
Category
Last pushed
Jun 09, 2022
Commits (30d)
0
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