Update README.md

README.md

@@ -2,4 +2,41 @@
 license: mit
 tags:
 - transformers
----
+language:
+- en
+---
+
+# FaceXFormer Model Card
+
+<div align="center">
+
+[**Project Page**](https://kartik-3004.github.io/facexformer_web/) **|** [**Paper (ArXiv)**]() **|** [**Code**](https://github.com/Kartik-3004/facexformer)
+
+
+</div>
+
+## Introduction
+
+FaceXFormer is an end-to-end unified model capable of handling a comprehensive range of facial analysis tasks such as face parsing, 
+landmark detection, head pose estimation, attributes recognition, age/gender/race estimation and landmarks visibility prediction.
+
+<div  align="center">
+<!-- <img src='assets/samples_short.jpg'> -->
+</div>
+
+## Model Details
+
+FaceXFormer is a transformer-based encoder-decoder architecture where each task is treated as a learnable token, enabling the 
+integration of multiple tasks within a single framework.
+
+
+## Usage
+
+The models can be downloaded directly from this repository or using python:
+```python
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(repo_id="kartiknarayan/facexformer", filename="facexformer/ckpts/model.pt", local_dir="./models")
+```
+
+Please check our [GitHub repository](https://github.com/Kartik-3004/facexformer) for complete inference instructions.