CLIP-convnext_base_w-laion2B-s13B-b82K-augreg

1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation A series of CLIP ConvNeXt-Base (w/ wide embed dim) models trained on subsets LAION-5B (https://laion.ai/blog/laion-5b/) using OpenCLIP (https://github.com/mlfoundations/open_clip). Goals: * Explore an alternative to ViT and ResNet (w/ AttentionPooling) CLIP models that scales well with model size and image resolution

翻訳準備中のため原文を表示しています

1. Model Details 2. Uses 3. Training Details 4. Evaluation 5. Acknowledgements 6. Citation A series of CLIP ConvNeXt-Base (w/ wide embed dim) models trained on subsets LAION-5B (https://laion.ai/blog/laion-5b/) using OpenCLIP (https://github.com/mlfoundations/open_clip). Goals: * Explore an alternative to ViT and ResNet (w/ AttentionPooling) CLIP models that scales well with model size and image resolution

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