Upload modeling_vit.py

modeling_vit.py

@@ -518,12 +518,12 @@ def create_eva_vit_g(img_size=224,
         norm_layer=partial(nn.LayerNorm, eps=1e-6),
         use_checkpoint=use_checkpoint,
     )
-    url = "https://storage.googleapis.com/sfr-vision-language-research/LAVIS/models/BLIP2/eva_vit_g.pth"
-    cached_file = download_cached_file(url, check_hash=False, progress=True)
-    state_dict = torch.load(cached_file, map_location="cpu")
-    interpolate_pos_embed(model, state_dict)
-
-    incompatible_keys = model.load_state_dict(state_dict, strict=False)
+    # url = "https://storage.googleapis.com/sfr-vision-language-research/LAVIS/models/BLIP2/eva_vit_g.pth"
+    # cached_file = download_cached_file(url, check_hash=False, progress=True)
+    # state_dict = torch.load(cached_file, map_location="cpu")
+    # interpolate_pos_embed(model, state_dict)
+    #
+    # incompatible_keys = model.load_state_dict(state_dict, strict=False)
 
     if precision == "fp16":
         convert_weights_to_fp16(model)