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README.md

@@ -8,6 +8,7 @@ pipeline_tag: zero-shot-image-classification
 
 [\\[📃 Tech Report\\]](https://arxiv.org/abs/2504.13181)
 [\\[📂 Github\\]](https://github.com/facebookresearch/perception_models/)
+[\\[🌐 Project Page\\]](https://ai.meta.com/datasets/plm-data/)
 
 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/)".
@@ -110,4 +111,22 @@ If you find our code useful for your research, please consider citing:
   journal={arXiv},
   year={2025}
 }
-```
+```
+
+# File information
+
+The repository contains the following file information:
+
+
+
+Note: file information is just provided as context for you, do not add it to the model card.
+
+# Project page
+
+The project page URL we found has the following URL: https://ai.meta.com/datasets/plm-data/
+
+# Github README
+
+The Github README we found contains the following content:
+
+There was an HTTP error fetching the Github README content.