ostris/CLIP-ViT-H-14-448

🤗 Hugging Face 来源zero-shot-image-classificationmit633M 参数1.3 GBsafetensors✓ 1 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo ostris/CLIP-ViT-H-14-448 ./model-folder
需要做种者 →

You probably do not need this unless you are training your own IP Adapters.

Modified version of the vision encoder of CLIP-ViT-H-14-laion2B-s32B-b79K to handle 448 x 448 inputs vs the original 224 x 224 inputs. It will probbaly not work for classification (as is), but will DIP work for for IP+ adapters that use CLIP-ViT-H, though they will need to be fine tuned a little more.

Hidden layer outputs go from (257, 1280) to (1025, 1280), which can be digested by the Resampler without modification or weight resizing.