WetLabRoboData/lerobot-data-dose_solid
ur3e_bimanual • Updated • 94 episodes • 130
How to use WetLabRoboData/diffusion-dose_solid-scratch 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
LeRobot diffusion policy for the dose_solid task.
| Field | Value |
|---|---|
| Policy family | diffusion (LeRobot) |
| Variant | Scratch (trained only on this task's data) |
| Training dataset | WetLabRoboData/lerobot-data-dose_solid |
| Target task | dose_solid | | Eval episodes | 20 | | Eval successes | 19 / 20 | | Robot | UR3e bimanual (3 cameras) |
Rollout videos + per-episode outcomes: WetLabRoboData/eval-diffusion-dose_solid-scratch.
from lerobot.policies.diffusion.modeling_diffusion import DiffusionPolicy
policy = DiffusionPolicy.from_pretrained("WetLabRoboData/diffusion-dose_solid-scratch")
Reorganized from WetLabRoboData/lerobot-data-rama-dose_solid on 2026-10-04. The archived
training outputs (checkpoints, train_config.json, wandb/) are preserved in
the old/ subfolder of that source repo for traceability.