Lednik7/CLIP-ONNX
It is a simple library to speed up CLIP inference up to 3x (K80 GPU)
This library helps machine learning engineers and researchers speed up image and text understanding tasks. It takes an existing CLIP model and converts it into a more efficient format. The output is a faster-performing model that can categorize images based on text descriptions or vice-versa, which is crucial for large-scale deployments.
232 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer working with CLIP models and need to significantly boost their processing speed for large datasets or real-time applications, especially on GPU.
Not ideal if you are not familiar with model conversion or are looking for a pre-trained, ready-to-use CLIP model without needing to optimize its performance.
Stars
232
Forks
30
Language
Python
License
MIT
Category
Last pushed
Jul 20, 2023
Commits (30d)
0
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