Instructions to use hongngo/c3dd6753-d1ac-41c0-a2f8-8db3f7818edb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/c3dd6753-d1ac-41c0-a2f8-8db3f7818edb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "hongngo/c3dd6753-d1ac-41c0-a2f8-8db3f7818edb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29ff00f8e2d9a09942865e5b7fb75e9096b2e0f7875618bfa77cb1614936c841
- Size of remote file:
- 80.9 MB
- SHA256:
- ffa60fac38a17f9364235e881c893ad8e3517c43673473a76232b2f1940cf62d
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