kykosic/actix-tensorflow-example
An example of using TensorFlow rust bindings to serve trained machine learning models via Actix Web
This project helps machine learning engineers efficiently deploy trained TensorFlow models as web services. It takes a pre-trained TensorFlow model and image data (PNG or JPG) and outputs the model's prediction, including a digit label and confidence score. This is for machine learning engineers who need to serve their models for real-time inference via a web API.
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Use this if you need to build a high-performance, low-latency API endpoint for your TensorFlow models, especially for image recognition tasks.
Not ideal if you are looking for a no-code solution or want to serve models other than TensorFlow, such as PyTorch, without adaptation.
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Rust
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Last pushed
Mar 25, 2023
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