Instructions to use dsaunders23/ChessPredictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsaunders23/ChessPredictor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "dsaunders23/ChessPredictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19801b71c2bc8b589e207fed5d1fdc68bc0caf40391492b26b8037e2cd074ea7
- Size of remote file:
- 13.7 MB
- SHA256:
- 5c71f3b563c3f684bb4165e33eef2c6e2a25979d1a2364e57b99556cc49549f5
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