Update README.md

README.md

@@ -59,8 +59,9 @@ import open_clip
 from PIL import Image
 from mobileclip.modules.common.mobileone import reparameterize_model
 
-model, _, preprocess = open_clip.create_model_and_transforms('MobileCLIP2-S3', pretrained='/path/to/mobileclip_s3.pt')
-tokenizer = open_clip.get_tokenizer('MobileCLIP2-S3')
+model_kwargs = {"image_mean": (0, 0, 0), "image_std": (1, 1, 1)}
+model, _, preprocess = open_clip.create_model_and_transforms('MobileCLIP-S3', pretrained='/path/to/mobileclip_s3.pt', **model_kwargs)
+tokenizer = open_clip.get_tokenizer('MobileCLIP-S3')
 
 # Model needs to be in eval mode for inference because of batchnorm layers unlike ViTs
 model.eval()