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:
- f37c1e45238d6e160fec185a4e2828e5991d754520fa5807b68791e7e3e42119
- Size of remote file:
- 13.7 MB
- SHA256:
- f83c5d25655b3897a8e1bace7994f0312ba565ffe9c2f2c15888cec7bfac0686
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