Update README.md

README.md

@@ -2,6 +2,7 @@
 license: mit
 language:
 - en
+pipeline_tag: unconditional-image-generation
 ---
 # This is an officila repository to generate some sample results from the FastGAN model presented in the paper: SinGAN-Seg: Synthetic training data generation for medical image segmentation [here](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267976)
 
@@ -10,4 +11,4 @@ The official pytorch implementation of the FAT-GAN paper "Towards Faster and Sta
 
 ```python
 python generate_4ch_from_huggingface.py
-```
+```