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README.md

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+---
+license: apache-2.0
+tags:
+- robotics
+- lerobot
+- robot-learning
+---
+
+# 500_chess_moves_smolvla_100k
+
+SmolVLA policy trained on 500 chess moves dataset for 100k steps
+
+## Model Details
+
+- **Checkpoint**: 100000
+- **Architecture**: SmolVLA Policy
+- **Observation Steps**: 1
+- **Action Steps**: 50
+- **Training Dataset**: dopaul/500_chess_moves
+
+
+## Usage
+
+```python
+from lerobot.common.policies.factory import make_policy
+
+# Load the policy
+policy = make_policy.from_pretrained("dopaul/500_chess_moves_smolvla_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