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:
- 2acf96bb9267536e104819c011162adba202a7b14dcb10f75a02209da5eb11a6
- Size of remote file:
- 5.65 kB
- SHA256:
- db6f803aeafaa8e8b4c448d8f558a55f158843bc250e43380d34057a83b641ef
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