Update README.md

README.md

@@ -42,5 +42,6 @@ class BLIPNet(torch.nn.Module):
         
 model = BLIPNet()
 model.load_state_dict(torch.load("best_model_wts_path"), strict=False)
-Usage
-You need to input the sample in the same way as shown in the example provided at: BLIP-Math. Then you can get the generated text and classification score simultaneously.
+
+You need to input the sample in the same way as shown in the example provided at: https://huggingface.co/uf-aice-lab/BLIP-Math
+Then you can get the generated text and classification score simultaneously.