Improve model card: Add metadata, external links, and fix sample usage

This PR enhances the model card for `nmndeep/CLIC-ViT-L-14-224-PixPr-RedCaps` by adding crucial information and ensuring the sample usage is runnable.

Specifically, it:
- Adds `license: apache-2.0`.
- Sets the `pipeline_tag` to `zero-shot-image-classification` for better discoverability on the Hub.
- Specifies `library_name: open_clip`, which enables the automated "How to use" widget on the model page.
- Adds links to the official paper ([Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning](https://huggingface.co/papers/2505.24424)), the project page (`https://clic-compositional-clip.github.io/`), and the GitHub repository (`https://github.com/AmitPeleg/CLIC`).
- Corrects the sample usage code snippet by adding the necessary `from urllib.request import urlopen` import, making it fully runnable.

README.md

@@ -1,19 +1,29 @@
+---
+license: apache-2.0
+pipeline_tag: zero-shot-image-classification
+library_name: open_clip
+---
 
 # Model Card for CLIC-ViT-L-14-224-PixPr-RedCaps
 
-## Model Details
+This model is presented in the paper [Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning](https://huggingface.co/papers/2505.24424).
+
+Project Page: https://clic-compositional-clip.github.io/
+Code: https://github.com/AmitPeleg/CLIC
 
-<!-- Provide the basic links for the model. -->
+## Model Details
 
-- **Model-details:** : Fine-tuned with CLIC using PixelProse dataset
+- **Description**: Fine-tuned with CLIC using the RedCaps subset of the PixelProse dataset.
 
 ## Model Usage
 ### With OpenCLIP
 
-```
+```python
 import torch
 from PIL import Image
 import open_clip
+from urllib.request import urlopen # Added for urlopen
+
 
 model, _, image_processor = open_clip.create_model_and_transforms('hf-hub:nmndeep/CLIC-ViT-L-14-224-PixPr-RedCaps')
 
@@ -39,4 +49,4 @@ with torch.no_grad(), torch.autocast("cuda"):
     text_probs = (100.0 * image_features @ text_features.T).softmax(dim=-1)
 idx = torch.argmax(text_probs)
 print("Output label:", texts[idx])  
-```   
+```