Update README.md

README.md

@@ -12,12 +12,6 @@ tags:
 datasets:
 - STEM-AI-mtl/City_map
 
-widget:
-  - image: https://cdn.britannica.com/50/69550-050-B9DA3DCA/Central-New-York-City-borough-Manhattan-Park.jpg
-    output:
-      text: NYC
-metrics:
-- accuracy
 ---
 
 # The fine-tuned ViT model that beats [Google's state-of-the-art model](https://huggingface.co/google/vit-base-patch16-224) and OpenAI's famous GPT4
@@ -30,7 +24,7 @@ The Vision Transformer (ViT) base model is a transformer encoder model (BERT-lik
 
 ### How to use:
 
-[Inference script](https://github.com/STEM-ai/Vision/raw/7d92c8daa388eb74e8c336f2d0d3942722fec3c6/ViT_inference.py)
+[Inference script](https://github.com/STEM-ai/Vision/blob/7d92c8daa388eb74e8c336f2d0d3942722fec3c6/ViT_inference.py)
 
 For more code examples, we refer to the [documentation](https://huggingface.co/transformers/model_doc/vit.html#).
 
@@ -46,7 +40,7 @@ A Transformer training was performed on [google/vit-base-patch16-224](https://hu
 
 ## Training evaluation results
 
-The most accurate output model was obtained from a learning rate of 1e-3. The quality of the training was evaluated with the training dataset and resulted in the following metrics:\
+The most accurate output model was obtained from a learning rate of 1e-3. The quality of the training was evaluated with the training dataset and resulted in the following metrics:
 
 {'eval_loss': 1.3691096305847168,\
  'eval_accuracy': 0.6666666666666666,\