500_chess_moves_smolvla_20k
SmolVLA policy trained on 500 chess moves dataset for 20k steps
Model Details
- Checkpoint: 020000
- Architecture: SmolVLA Policy
- Observation Steps: 1
- Action Steps: 50
- Training Dataset: dopaul/500_chess_moves
Usage
from lerobot.common.policies.factory import make_policy
# Load the policy
policy = make_policy.from_pretrained("dopaul/500_chess_moves_smolvla_20k")
# Use for inference
action = policy.select_action(observation)
Training Details
This model was trained using the LeRobot framework and uploaded from checkpoint 020000.
For more information about LeRobot, visit: https://github.com/huggingface/lerobot
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