This is a pre-trained ResNet-101 model using the CLIP architecture, trained on the YFCC15M dataset. It supports zero-shot image classification and can be used via the OpenCLIP or timm libraries. The model is hosted on Hugging Face and is intended for developers building computer vision applications.
Resnet101 Clip.yfcc15m sits in PulseGate's Other AI category. It focuses on accessing and using a pre-trained vision model for zero-shot image classification tasks. Resnet101 Clip.yfcc15m is an open-source project aimed at machine learning developers. The project is open source (Open Source). It runs on the web and API.
It is developed by Hugging Face (United States), and the product first shipped in 2024. Among its 3 catalogued features are zero-shot classification, image embeddings, and CLIP vision model.
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