This is an open-weight CLIP model variant trained by LAION on the LAION-2B dataset. It maps images and text into a shared embedding space for tasks such as zero-shot image classification, image-text retrieval, and multimodal similarity scoring. The model is distributed on Hugging Face and can be used with the OpenCLIP or transformers libraries.
CLIP ViT L 14 laion2B s32B b82K sits in PulseGate's Other AI category. It focuses on finding and using high-quality open weights for contrastive image-text representation learning. CLIP ViT L 14 laion2B s32B b82K is an open-source project aimed at machine learning researchers and developers. The project is open source (Open Source). CLIP ViT L 14 laion2B s32B b82K is available on the web and API.
LAION builds and maintains CLIP ViT L 14 laion2B s32B b82K, and the product first shipped in 2021. The project is developed in the open on GitHub with 14k stars and 115 commits in the last 90 days. Among its 3 catalogued features are Image-Text Similarity, Zero-Shot Classification, and OpenCLIP Compatible.
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