Update README.md

README.md

@@ -1,3 +1,76 @@
----
-license: mit
----
+---
+license: mit
+datasets:
+- IPEC-COMMUNITY/libero_object_no_noops_lerobot
+language:
+- en
+base_model:
+- lerobot/pi0
+pipeline_tag: robotics
+library_name: transformers
+tags:
+- VLA
+---
+# Model Card for Hume-Libero_Object
+
+
+<!-- Provide a quick summary of what the model is/does. -->
+A Dual-System Visual-Language-Action model with System-2 thinking trained on Libero-Object.
+- Paper: [https://arxiv.org/abs/2505.21432](https://arxiv.org/abs/2505.21432)
+- Homepage: [https://hume-vla.github.io](https://hume-vla.github.io)
+- Codebase: [🦾 Hume: A Dual-System VLA with System2 Thinking](https://github.com/hume-vla/hume) ![GitHub Repo stars](https://img.shields.io/github/stars/hume-vla/hume)
+
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+- If you want to reproduce the results in paper, follow the [instruction](https://github.com/hume-vla/hume/tree/main/experiments/libero)
+- If you want to directly use the model:
+  ```python
+  from hume import HumePolicy
+  import numpy as np
+  
+  # load policy
+  hume = HumePolicy.from_pretrained("/path/to/checkpoints")
+  
+  # config Test-Time Computing args
+  hume.init_infer(
+      infer_cfg=dict(
+          replan_steps=8,
+          s2_replan_steps=16,
+          s2_candidates_num=5,
+          noise_temp_lower_bound=1.0,
+          noise_temp_upper_bound=1.0,
+          time_temp_lower_bound=0.9,
+          time_temp_upper_bound=1.0,
+          post_process_action=True,
+          device="cuda",
+      )
+  )
+  
+  # prepare observations
+  observation = {
+      "observation.images.image": np.zeros((1,224,224,3), dtype = np.uint8), # (B, H, W, C)
+      "observation.images.wrist_image": np.zeros((1,224,224,3), dtype = np.uint8), # (B, H, W, C)
+      "observation.state": np.zeros((1, 7)), # (B, state_dim)
+      "task": ["Lift the papper"],
+  }
+  
+  # Infer the action
+  action = hume.infer(observation) # (B, action_dim)
+  
+  ```
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+
+```BibTeX
+@article{song2025hume,
+  title={Hume: Introducing System-2 Thinking in Visual-Language-Action Model},
+  author={Anonimous Authors},
+  journal={arXiv preprint arXiv:2505.21432},
+  year={2025}
+}
+```