Update README.md

README.md

@@ -58,16 +58,18 @@ library_name: transformers
 
 ## How to Use
 
+
 ### Installation
 
 First, clone the Derm1M repository:
 ```bash
 git clone git@github.com:SiyuanYan1/Derm1M.git
 cd Derm1M
-```
+···
 
 Then install the package following the instruction in the repository.
 
+
 ### Quick Start
 ```python
 import open_clip
@@ -76,12 +78,12 @@ import torch
 
 # Load model with huggingface checkpoint
 model, _, preprocess = open_clip.create_model_and_transforms(
-    'hf-hub:redlessone/DermLIP_PanDerm-base-w-PubMed-256'
+    'hf-hub:redlessone/DermLIP_ViT-B-16'
 )
 model.eval()
 
 # Initialize tokenizer
-tokenizer = open_clip.get_tokenizer('hf-hub:redlessone/DermLIP_PanDerm-base-w-PubMed-256')
+tokenizer = open_clip.get_tokenizer('hf-hub:redlessone/DermLIP_ViT-B-16')
 
 # Read example image
 image = preprocess(Image.open("your_skin_image.png")).unsqueeze(0)
@@ -119,6 +121,7 @@ print(f'This image is diagnosed as {final_prediction}.')
 print("Label probabilities:", text_probs)
 ```
 
+
 ## Contact
 
 For any additional questions or comments, contact Siyuan Yan (`siyuan.yan@monash.edu`),