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clip-vit-base-patch32-ExecuTorch

This repository hosts the **clip-vit-base-patch32** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. The `xnnpack/*_int8.pte` towers are 8da8w (int8 dynamic activations, int8 per-channel weights) on the Linear layers; the text tower also has an int8 token embedding table. ImageNetV2 zero-shot top-1 (1000 images, one per class, "a photo of a {class}."): These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

翻訳準備中のため原文を表示しています

This repository hosts the **clip-vit-base-patch32** models exported for the React Native ExecuTorch library as ExecuTorch `.pte` programs, ready to run on device. The `xnnpack/*_int8.pte` towers are 8da8w (int8 dynamic activations, int8 per-channel weights) on the Linear layers; the text tower also has an int8 token embedding table. ImageNetV2 zero-shot top-1 (1000 images, one per class, "a photo of a {class}."): These files are published for the **ExecuTorch v1.4.1** runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

情報源

huggingface.co ↗