Instructions to use kylebrodeur/microfactory-node-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kylebrodeur/microfactory-node-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-1b-it") model = PeftModel.from_pretrained(base_model, "kylebrodeur/microfactory-node-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 779257a34b3408b098c3eacd1749beeb3937945a2d29c57c1f529385eca3c36b
- Size of remote file:
- 12 MB
- SHA256:
- 10f25d038ded58dfbb9725fc844ae2fc020d3d5aabe5240aa8c31c1361b513ed
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