Instructions to use nhunglaaaaaaa/be24204e-e51a-4365-a214-1ec868bf181e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhunglaaaaaaa/be24204e-e51a-4365-a214-1ec868bf181e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "nhunglaaaaaaa/be24204e-e51a-4365-a214-1ec868bf181e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6763ba05d643e5b723e91e1abbb490d948bcec59a5c54247586fc4c1f53db670
- Size of remote file:
- 6.78 kB
- SHA256:
- ccaa8adae0fed81263b42a05d3862ef66b3d0c3d1d4f44c50cdc96b845331848
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