Showing 527 open source projects for "language learning"

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    CLIP-ViT-bigG-14-laion2B-39B-b160k

    CLIP-ViT-bigG-14-laion2B-39B-b160k

    CLIP ViT-bigG/14: Zero-shot image-text model trained on LAION-2B

    CLIP-ViT-bigG-14-laion2B-39B-b160k is a powerful vision-language model trained on the English subset of the LAION-5B dataset using the OpenCLIP framework. Developed by LAION and trained by Mitchell Wortsman on Stability AI’s compute infrastructure, it pairs a ViT-bigG/14 vision transformer with a text encoder to perform contrastive learning on image-text pairs. This model excels at zero-shot image classification, image-to-text and text-to-image retrieval, and can be adapted for tasks such as image captioning or generation guidance. ...
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  • 2
    fashion-clip

    fashion-clip

    CLIP model fine-tuned for zero-shot fashion product classification

    FashionCLIP is a domain-adapted CLIP model fine-tuned specifically for the fashion industry, enabling zero-shot classification and retrieval of fashion products. Developed by Patrick John Chia and collaborators, it builds on the CLIP ViT-B/32 architecture and was trained on over 800K image-text pairs from the Farfetch dataset. The model learns to align product images and descriptive text using contrastive learning, enabling it to perform well across various fashion-related tasks without...
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