Instructions to use lhong4759/03e6074f-59d0-43b3-9887-fa5e7ea8af99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lhong4759/03e6074f-59d0-43b3-9887-fa5e7ea8af99 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, "lhong4759/03e6074f-59d0-43b3-9887-fa5e7ea8af99") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cda69413254ddbe4e865dcb849a0ee60a5504138636c0fedf6fb56ab1a1436f
- Size of remote file:
- 138 MB
- SHA256:
- 598c937cd0974c302f7290b99b86a4a00ae2dcfb601da24444efa2ab1a92e228
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