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japanese-clip-vit-b-16

This is a Japanese CLIP (Contrastive Language-Image Pre-Training) model trained by rinna Co., Ltd.. Please see japanese-clip for the other available models. The model was trained a ViT-B/16 Transformer architecture as an image encoder and uses a 12-layer BERT as a text encoder. The image encoder was initialized from the AugReg `vit-base-patch16-224` model.

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This is a Japanese CLIP (Contrastive Language-Image Pre-Training) model trained by rinna Co., Ltd.. Please see japanese-clip for the other available models. The model was trained a ViT-B/16 Transformer architecture as an image encoder and uses a 12-layer BERT as a text encoder. The image encoder was initialized from the AugReg `vit-base-patch16-224` model.

资料来源

huggingface.co ↗