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:
- 020a471807c466d0a2192aae9599afa9b0281db24d532618536924a72de1aee6
- Size of remote file:
- 13.7 MB
- SHA256:
- cda84e7dc66fd006a7e5db700db9fac64d1e038d9a076b5502b2a82389377c7c
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