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---
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. |