Add transformers metadata, link to project page and paper

Adds the transformers `library_name` to the model card. Also links to the [paper](https://huggingface.co/papers/2506.09930) and the project page at https://ai4ce.github.io/INT-ACT/.

README.md

@@ -1,11 +1,17 @@
 ---
 license: mit
 pipeline_tag: robotics
+library_name: transformers
 ---
+
 # Octo Small
 
 See https://github.com/octo-models/octo for instructions for using this model.
 
+Project page: https://ai4ce.github.io/INT-ACT/
+
+This model was used for the following paper: From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models [https://huggingface.co/papers/2506.09930]
+
 Octo Small is trained with a window size of 2, predicting 7-dimensional actions 4 steps into the future using a diffusion policy. The model is a Transformer with 27M parameters (equivalent to a ViT-S). Images are tokenized by preprocessing with a lightweight convolutional encoder, then grouped into 16x16 patches. Language is tokenized by applying the T5 tokenizer, and then applying the T5-Base language encoder. 
 
 Observations and tasks conform to the following spec: