This is a lossless key-layout conversion of
IPEC-COMMUNITY/EO-1-3B
at revision
fe0a015d9349bdf886d898809213b3574eedf1f9
for LeRobot's native
eo1
policy implementation.
The checkpoint preserves the released EO-1 Qwen vision-language weights,
language-model head, state/action projectors, and flow-matching head. Its defaults
match the release: action chunk size 16, maximum state/action dimension 32, two
action-projector layers, and ten denoising steps.
Use
--policy.path=lerobot/eo1-base
for training or rollout. LeRobot then
applies the dataset or environment's camera, state, and action feature shapes
before instantiating the policy.
Runs of lerobot eo1-base on huggingface.co
31
Total runs
0
24-hour runs
1
3-day runs
31
7-day runs
31
30-day runs
More Information About eo1-base huggingface.co Model
eo1-base huggingface.co is an AI model on huggingface.co that provides eo1-base's model effect (), which can be used instantly with this lerobot eo1-base model. huggingface.co supports a free trial of the eo1-base model, and also provides paid use of the eo1-base. Support call eo1-base model through api, including Node.js, Python, http.
eo1-base huggingface.co is an online trial and call api platform, which integrates eo1-base's modeling effects, including api services, and provides a free online trial of eo1-base, you can try eo1-base online for free by clicking the link below.
lerobot eo1-base online free url in huggingface.co:
eo1-base is an open source model from GitHub that offers a free installation service, and any user can find eo1-base on GitHub to install. At the same time, huggingface.co provides the effect of eo1-base install, users can directly use eo1-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.