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README.md

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+---
+license: mit
+tags:
+- chess
+- reinforcement-learning
+- game-ai
+---
+
+# ChessHacks Chess Bot Model
+
+This model was trained to play chess using a neural network with policy and value heads.
+
+## Model Architecture
+
+- Convolutional neural network with residual blocks
+- Policy head: Predicts move probabilities
+- Value head: Evaluates position strength
+
+## Usage
+
+```python
+import torch
+from huggingface_hub import hf_hub_download
+
+# Download the model
+model_path = hf_hub_download(
+    repo_id="HamzaAmmar/chesshacks-model",
+    filename="best.pt"
+)
+
+# Load checkpoint
+checkpoint = torch.load(model_path, map_location="cpu")
+```
+
+## Training
+
+Trained on Lichess games using:
+- 10 epochs
+- 10,000 steps per epoch
+- Batch size: 256
+- Lichess standard chess games dataset