Instructions to use denbeo/76e1c3d7-ec85-4b06-bc46-0aa065c315de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/76e1c3d7-ec85-4b06-bc46-0aa065c315de 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, "denbeo/76e1c3d7-ec85-4b06-bc46-0aa065c315de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6810a8101c2f7e225080d06068cff094ecc95e5d57e9ae879903e5482b0cc62f
- Size of remote file:
- 138 MB
- SHA256:
- c3c645f8381a7d5066f49474a6730ee8a5e61ed4f6a2e9dcc7d90f5fa214b46c
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