Add base_model: facebook/EUPE-ViT-B and link backbone in prose

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: facebook/EUPE-ViT-B
 tags:
   - depth-estimation
   - frozen-backbone
@@ -16,4 +17,4 @@ A systematic study of monocular depth head architectures operating on frozen vis
 
 Standard practice treats the backbone and depth decoder as a joint system. Recent universal encoders produce spatial features of sufficient quality that the backbone can remain frozen while a lightweight head is trained on depth data. Under this regime, the head is the only variable.
 
-This repository contains an arena framework for rapid comparison of depth head candidates and a collection of architectures spanning conventional decoders through novel minimal-parameter designs. All heads consume the same spatial feature tensor and produce per-pixel depth maps. The backbone is interchangeable.
+This repository contains an arena framework for rapid comparison of depth head candidates and a collection of architectures spanning conventional decoders through novel minimal-parameter designs. All heads consume the same spatial feature tensor and produce per-pixel depth maps. The reference backbone is [EUPE-ViT-B](https://huggingface.co/facebook/EUPE-ViT-B) (86M parameters, frozen), but the framework is backbone-agnostic — the same heads can be evaluated against any frozen ViT that produces a stride-16 spatial feature grid.