Downloads · 30 days
11
14% of all-time downloads
diffusion_discrete_rtc_towel_folding_20260625
collected-ai/diffusion_discrete_rtc_towel_folding_20260625
diffusion_discrete_rtc_towel_folding_20260625 is a robotics model from collected-ai. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot. The card lists the license as apache-2.0.
Model type not recognized — please update this template.
All-time downloads
76
Public
Parameters
41.1M
164 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors164 MB · 100%
At a glance
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Access
- Public
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026
- SHA
- b940a8ff
Model card
From the Hugging Face model README
Model Card for diffusion_discrete_rtc
<!-- Provide a quick summary of what the model is/does. -->Model type not recognized — please update this template.
This policy has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs.
How to Get Started with the Model
For a complete walkthrough, see the training guide. Below is the short version on how to train and run inference/eval:
Train from scratch
lerobot-train \
--dataset.repo_id=${HF_USER}/<dataset> \
--policy.type=act \
--output_dir=outputs/train/<desired_policy_repo_id> \
--job_name=lerobot_training \
--policy.device=cuda \
--policy.repo_id=${HF_USER}/<desired_policy_repo_id>
--wandb.enable=true
Writes checkpoints to outputs/train/<desired_policy_repo_id>/checkpoints/.
Evaluate the policy/run inference
lerobot-record \
--robot.type=so100_follower \
--dataset.repo_id=<hf_user>/eval_<dataset> \
--policy.path=<hf_user>/<desired_policy_repo_id> \
--episodes=10
Prefix the dataset repo with eval_ and supply --policy.path pointing to a local or hub checkpoint.
Model Details
- License: apache-2.0
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026