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:
- efb17c5288c4780f91688bdbce7a5ebfbf69b38364bfa8854e89f6f3a952e6f3
- Size of remote file:
- 137 MB
- SHA256:
- 8c8497de5161c9ec0013973da63b1221e0bd5ec3e4434a40ddff99f0862fc2b9
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