Update README.md

README.md

@@ -42,16 +42,13 @@ The model has been fine-tuned using the following hyperparameters:
 
 
 
-- **Developed by:** Hardly Humans club
-- **Model type:** Vision transformer
-- **License:** MIT
-- **Finetuned from model:** 
+
 
 
 ## How to Get Started with the Model
 Example usage:
 
-'''python 
+```python
 from transformers import AutoImageProcessor, AutoModelForImageClassification, pipeline
 
 pipe = pipeline("image-classification", model="HardlyHumans/Facial-expression-detection")
@@ -66,7 +63,7 @@ outputs = model(**inputs)
 logits = outputs.logits
 predicted_class_idx = logits.argmax(-1).item()
 predicted_label = labels[predicted_class_idx]
-'''
+```
 
 
 
@@ -75,6 +72,12 @@ predicted_label = labels[predicted_class_idx]
 The net estimated CO2 emission using the  [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute)  scale is around 8.82kg of CO2.
 
 
+
+- **Developed by:** Hardly Humans club, IIT Dharwad
+- **Model type:** Vision transformer
+- **License:** MIT
+- **Finetuned from model:** google/vit-base-patch16-224-in21k
+
 - **Hardware Type:** T4 
 - **Hours used:** 8+27
 - **Cloud Provider:** Google collabotary service