Instructions to use nhunglaaaaaaa/63dcbfaa-300e-4f29-b88b-22f2a4820313 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhunglaaaaaaa/63dcbfaa-300e-4f29-b88b-22f2a4820313 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "nhunglaaaaaaa/63dcbfaa-300e-4f29-b88b-22f2a4820313") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c998274f188550ab316ee9edb871cdbf4e632aa1402b6103451f9816472df9ff
- Size of remote file:
- 60 MB
- SHA256:
- 8f7f29de2a9f0499b860e9948c6c7c5eff6826baa39ff3125e157ed2f2560ce3
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