diff --git "a/README.md" "b/README.md"
--- "a/README.md"
+++ "b/README.md"
@@ -5,8200 +5,7 @@ tags:
 - sklearn
 - skops
 - tabular-classification
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+- visual emb-gam
 ---
 
 # Model description
@@ -8265,7 +72,6 @@ Use the code below to get started with the model.
 <summary> Click to expand </summary>
 
 ```python
-
 from PIL import Image
 from skops import hub_utils
 import torch
@@ -8293,7 +99,7 @@ inputs = {k: v.to(device) for k, v in feature_extractor(img, return_tensors='pt'
 
 # extract patch embeddings
 with torch.no_grad():
-  patch_embeddings = model(**inputs).last_hidden_state[0].permute(1, 2, 0).view(7*7, 2048).cpu().cpu()
+  patch_embeddings = model(**inputs).last_hidden_state[0].permute(1, 2, 0).view(7*7, 2048).cpu()
 
 # classify
 pred = logistic_regression.predict(patch_embeddings.sum(dim=0, keepdim=True))