Instructions to use Sweaterdog/Andy-3.6-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sweaterdog/Andy-3.6-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Sweaterdog/Andy-3.6-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0e7268026de5484b5151f32099c3e3d774f9ed3cb8130cfc08c8d812a049d4a
- Size of remote file:
- 11.4 MB
- SHA256:
- 926fca00579af47aca0ae7e6b0ca5fd64b7ca4d3ecbad4cbf76c17b95a8c2f84
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