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:
- 0609c864feaf394122a58a009aa9bfe418d3d08c561cc571fb368785ce9488b2
- Size of remote file:
- 138 MB
- SHA256:
- ae1a7a860637bf96e60a3b22ddc2d689b3be8e01cd189b426e02368ab8b81cbc
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