Update model trained on the whole Food101 dataset

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 pretrained_effnetb2_feature_extractor_food101_20_percent.pth filter=lfs diff=lfs merge=lfs -text
+pretrained_effnetb2_feature_extractor_food101.pth filter=lfs diff=lfs merge=lfs -text

app.py

@@ -14,7 +14,7 @@ effnetb2, effnetb2_transforms = create_effnetb2_model(
 )
 
 effnetb2.load_state_dict(
-    torch.load(f="pretrained_effnetb2_feature_extractor_food101_20_percent.pth",
+    torch.load(f="pretrained_effnetb2_feature_extractor_food101.pth",
                map_location=torch.device("cpu")) # Load the model to the CPU
 )
 

pretrained_effnetb2_feature_extractor_food101_20_percent.pth → pretrained_effnetb2_feature_extractor_food101.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:11d2f79bfdeb19d7cb1dc41a2a98e120dfc84ea339e03a166c9c5ce9910886fc
-size 31855674
+oid sha256:e05de434aa004ffcb2d82bd1fca54a2628e8fdcda893c6ec4e0332e54fd91b49
+size 31849018