Update README.md

README.md

@@ -4,10 +4,10 @@ datasets:
 - ILSVRC/imagenet-1k
 - mlfoundations/datacomp_small
 base_model:
-- laion/CLIP-ViT-g-14-laion2B-s34B-b88K
+- laion/CLIP-ViT-g-14-laion2B-s12B-b42K
 ---
 
-Model Initialized from `laion/CLIP-ViT-g-14-laion2B-s34B-b88K`. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$.
+Model Initialized from `laion/CLIP-ViT-g-14-laion2B-s12B-b42K`. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$.
 
 To load this model use:
 
@@ -15,7 +15,7 @@ To load this model use:
 from transformers import CLIPProcessor, CLIPModel
 
 model_name = "LEAF-CLIP/OpenCLIP-ViT-g-rho50-k1-FARE2"
-processor_name = "laion/CLIP-ViT-g-14-laion2B-s34B-b88K"
+processor_name = "laion/CLIP-ViT-g-14-laion2B-s12B-b42K"
 
 model = CLIPModel.from_pretrained(model_name)
 processor = CLIPProcessor.from_pretrained(processor_name)