Instructions to use Rakeshdharan56/xvla_panda_pick_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Rakeshdharan56/xvla_panda_pick_v1 with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
xvla_panda_pick_v1
X-VLA fine-tuned on Rakeshdharan56/pick_robosuite (revision v1): Franka Panda, "Hand me the {bottle|vial|syringe}", LIBERO-style I/O
(2 cams 256², 8-D state, 7-D delta-EEF action at 20 Hz).
Init lerobot/xvla-base, action_mode=auto (7-D actions padded to 20 for training, trimmed at inference), full fine-tune, 7,500 steps, batch 32, bf16, RTX 6000 Ada. Camera keys: agentview → observation.images.image, eye_in_hand → observation.images.image2. Chunk 30.
Load with LeRobot 0.5.2 (commit b06ad4088): get_policy_class(cfg.type).from_pretrained("Rakeshdharan56/xvla_panda_pick_v1") and
make_pre_post_processors(policy.config, pretrained_path="Rakeshdharan56/xvla_panda_pick_v1"). Closed-loop robosuite eval: pending.
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