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
Download tokenizer.json from kylebrodeur/microfactory-node-lora: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/kylebrodeur/microfactory-node-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://kylebrodeur/microfactory-node-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kylebrodeur/microfactory-node-lora/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 23db2e055d80cccf03598ded35b611c37cce36e1bc0bf93b87209e2a480a073d
- Size of remote file:
- 33.4 MB
- SHA256:
- daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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