Transformers
ONNX
Safetensors
English
chess
move-prediction
neural-network
deep-learning
skill-conditioning
player-modeling
Instructions to use peargentlabs/otter-chess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peargentlabs/otter-chess with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peargentlabs/otter-chess", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "step": 1015000, | |
| "val_metrics": { | |
| "loss": 1.5841202447414398, | |
| "acc": 0.54714453125, | |
| "top5_acc": 0.90750830078125, | |
| "elo_bucket_acc": [ | |
| 0.49165673420738976, | |
| 0.5256655833674106, | |
| 0.5354982515149088, | |
| 0.543234776061205, | |
| 0.5455132098390525, | |
| 0.5404627722064257, | |
| 0.5535118256796748, | |
| 0.5554582697775586, | |
| 0.5615348915703317, | |
| 0.5504, | |
| 0.5515878835280507 | |
| ], | |
| "time_bucket_acc": [ | |
| null, | |
| null, | |
| 0.5335923516828917, | |
| 0.5474546320871287, | |
| null | |
| ] | |
| }, | |
| "best_val_acc": 0.54763525390625 | |
| } |