Add pipeline tag: image-feature-extraction

README.md

@@ -1,11 +1,13 @@
 ---
-license: apache-2.0
 library_name: perception-encoder
+license: apache-2.0
+pipeline_tag: image-feature-extraction
 ---
+
 # Model Details
 
-[\[📃 Tech Report\]](https://arxiv.org/abs/2504.13181)
-[\[📂 Github\]](https://github.com/facebookresearch/perception_models/)
+[\\[📃 Tech Report\\]](https://arxiv.org/abs/2504.13181)
+[\\[📂 Github\\]](https://github.com/facebookresearch/perception_models/)
 
 Perception Encoder (PE) is a state-of-the-art encoder for image and video understanding trained via simple vision-language learning. It was introduced in "[Perception Encoder: The best visual embeddings
 are not at the output of the network](https://ai.meta.com/research/publications/perception-encoder-the-best-visual-embeddings-are-not-at-the-output-of-the-network/)".
@@ -108,5 +110,4 @@ If you find our code useful for your research, please consider citing:
   journal={arXiv},
   year={2025}
 }
-```
-    
+```