Update README.md

README.md

@@ -1,3 +1,7 @@
+---
+license: mit
+pipeline_tag: robotics
+---
 # Octo Small
 This model 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. 
 
@@ -27,7 +31,7 @@ Tasks:
 At inference, you may pass in any subset of these observation and task keys, with a history window up to 2 timesteps.
 
 
-This model was trained on a mix of datasets from the Open X-Embodiment dataset
+This model was trained on a mix of datasets from the Open X-Embodiment dataset.
 
 | Dataset                                                    | Proportion of batch |
 |------------------------------------------------------------|---------------------|