Instructions to use laquythang/8c50f086-eee6-437d-b1b0-8dfbbc80f349 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/8c50f086-eee6-437d-b1b0-8dfbbc80f349 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "laquythang/8c50f086-eee6-437d-b1b0-8dfbbc80f349") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2404f8a3e20ef680909c836ce166a7e2c1083c02c3d7a7f4b3ba224d54eb274f
- Size of remote file:
- 275 MB
- SHA256:
- b7be66affa140e775a40a4642698814497a1deb84957efcc794bfe2e7b5ad59f
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