resnet50_clip.cc12m is part of the timm (PyTorch Image Models) library. It is a ResNet-50 model trained using the CLIP objective on the Conceptual Captions 12M (CC12M) dataset. It supports zero-shot image classification and can be used as a visual feature extractor or for integration with text encoders.
Resnet50 Clip.cc12m sits in PulseGate's Other AI category. It focuses on providing a CLIP-trained ResNet-50 backbone for zero-shot image classification and embedding tasks. It is built as an open-source project for developers. Resnet50 Clip.cc12m is open source under the Open Source license. It runs on the web and API.
timm builds and maintains Resnet50 Clip.cc12m, and the product first shipped in 2024. Key capabilities include Image Classification, Zero-shot Classification, and CLIP Embedding.
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