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": 1000000, | |
| "val_metrics": { | |
| "loss": 1.583497819185257, | |
| "acc": 0.54707470703125, | |
| "top5_acc": 0.90750927734375, | |
| "elo_bucket_acc": [ | |
| 0.4898688915375447, | |
| 0.5276026085272152, | |
| 0.536184298336937, | |
| 0.5443440495878881, | |
| 0.5466140297600972, | |
| 0.5406841128496757, | |
| 0.5533335217846046, | |
| 0.5550826954714494, | |
| 0.5618302252974433, | |
| 0.5584, | |
| 0.5447931433413176 | |
| ], | |
| "time_bucket_acc": [ | |
| null, | |
| null, | |
| 0.5333522504038067, | |
| 0.547388704146368, | |
| null | |
| ] | |
| }, | |
| "best_val_acc": 0.54718017578125 | |
| } |