fix model weights names

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43163604e325318c98c881ba0d30662dbc7dffb8acb47824a552960ecacfac08
-size 896088017
+oid sha256:34e7263f3e2652f4442fcc014c771d2f775d6d709866a887a82edc8d0703ce84
+size 896058079

tmp.py

@@ -0,0 +1,18 @@
+import torch
+
+# Load old model weights
+old_weights = torch.load('/Users/snoamr/Documents/superCap/huggingface_model_card/FuseCap/pytorch_model.bin', map_location=torch.device('cpu'))
+
+# Prepare a dictionary to hold the new weights
+new_weights = {}
+
+# Loop over the items in old_weights
+for name, weight in old_weights.items():
+    # Replace the old model's layer names with the new model's layer names
+    new_name = name.replace('vision_model.encoder.layers', 'visual_encoder.blocks')
+    
+    # Add the modified name and associated weight to new_weights
+    new_weights[new_name] = weight
+
+# Save the new weights
+torch.save(new_weights, '/Users/snoamr/Documents/superCap/huggingface_model_card/FuseCap/pytorch_model_new.bin')