This model is a large ConvNeXt-based CLIP variant trained on the LAION-2B dataset with 29 billion samples and further fine-tuned. It maps images and text into a shared embedding space for tasks such as zero-shot classification, retrieval, and similarity computation. It is distributed on Hugging Face for use by machine learning developers building multimodal AI applications.
CLIP Convnext Large D 320.laion2B s29B b131K Ft Soup is an Other AI product. Lack of strong open-source CLIP models for multimodal image-text understanding. It is built as an open-source project for developers. CLIP Convnext Large D 320.laion2B s29B b131K Ft Soup is open source under the Open Source license. The product ships for the web and API.
Behind CLIP Convnext Large D 320.laion2B s29B b131K Ft Soup is LAION, and the product first shipped in 2021. Development happens publicly on GitHub with 14k stars and 110 commits in the last 90 days.
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