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:
- 81c54eb07551ad1b1b6ffa70d991117b19b82b236322ed3589ebd107b26c8fdc
- Size of remote file:
- 5.65 kB
- SHA256:
- f4438cc26e1158ddb9880c6e93a07a69d3f8ce52c71c981a9fb523e65c4041b1
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