siglip2-so400m-patch14-384
You can use the raw model for tasks like zero-shot image classification and image-text retrieval, or as a vision encoder for VLMs (and other vision tasks). For more code examples, we refer to the siglip documentation. 1. Decoder loss 2. Global-local and masked prediction loss 3. Aspect ratio and resolution adaptibility
翻訳準備中のため原文を表示しています
You can use the raw model for tasks like zero-shot image classification and image-text retrieval, or as a vision encoder for VLMs (and other vision tasks). For more code examples, we refer to the siglip documentation. 1. Decoder loss 2. Global-local and masked prediction loss 3. Aspect ratio and resolution adaptibility
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