open_clip and onnx_clip
The ONNX-based implementation is a specialized, lightweight alternative to the open-source PyTorch implementation, designed for environments where PyTorch dependencies are undesirable, rather than a direct competitor for all use cases.
About open_clip
mlfoundations/open_clip
An open source implementation of CLIP.
This project provides pre-trained models that understand both images and text, allowing you to connect what you see with descriptive phrases. You can input an image and a list of text descriptions to get back probabilities of which description best matches the image. This is ideal for researchers or developers building applications that need to categorize images based on natural language or search for images using text.
About onnx_clip
lakeraai/onnx_clip
An ONNX-based implementation of the CLIP model that doesn't depend on torch or torchvision.
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