Update README.md

README.md

@@ -1,23 +1,23 @@
----
-license: mit
-base_model:
-- google/paligemma2-3b-pt-224
-tags:
-- VLA
-- Foundation Vision-language-action Model
-- Generalist Robot Policy
-- robotics
-language:
-- en
-pipeline_tag: image-text-to-text
-library_name: transformers
----
+---
+license: mit
+base_model:
+- google/paligemma2-3b-pt-224
+tags:
+- VLA
+- Foundation Vision-language-action Model
+- Generalist Robot Policy
+- robotics
+language:
+- en
+pipeline_tag: image-text-to-text
+library_name: transformers
+---
 
 # SpatialVLA
 
 SpatialVLA is a spatial-enhanced vision-language-action model trained on 1.1 Million real robot episodes. The code is purely huggingFace-based and concise, with efficient performance.
 
-All SpatialVLA checkpoints, as well as our [training codebase](https://github.com/openvla/openvla) are released under an MIT License.
+All SpatialVLA checkpoints, as well as our [training codebase](https://github.com/SpatialVLA/SpatialVLA) are released under an MIT License.
 
 For full details, please read [our paper](https://arxiv.org/abs/2501.15830) and see [our project page](https://spatialvla.github.io/).