Instructions to use dddsdadf/lora_full_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dddsdadf/lora_full_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-32B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "dddsdadf/lora_full_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 467dec4cda8216bf5666ca21f835a950a29a946d4fb2f7b2321bc1bc7950e33c
- Size of remote file:
- 137 MB
- SHA256:
- edf100f9d428c28cd50a62e5333bb4d7b504746789d9c08a6eea840f2abf76e3
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