Instructions to use dopaul/100_rooks_unclipped_act_100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use dopaul/100_rooks_unclipped_act_100k with LeRobot:
- Notebooks
- Google Colab
- Kaggle
100_rooks_unclipped_act_100k
Robot Learning Policy trained on 100_rooks dataset, trained using the LeRobot framework.
Model Details
- Checkpoint: 100000
- Architecture: Unknown
- Observation Steps: 1
- Action Steps: 100
- Training Dataset: dopaul/100_rooks
Usage
from lerobot.common.policies.factory import make_policy
# Load the policy
policy = make_policy.from_pretrained("dopaul/100_rooks_unclipped_act_100k")
# Use for inference
action = policy.select_action(observation)
Training Details
This model was trained using the LeRobot framework and uploaded from checkpoint 100000.
For more information about LeRobot, visit: https://github.com/huggingface/lerobot
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