Instructions to use harrrshall/lumen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harrrshall/lumen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/jl_fs/a11yfix/models/Qwen3.5-4B/851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a") model = PeftModel.from_pretrained(base_model, "harrrshall/lumen") - Notebooks
- Google Colab
- Kaggle
Download figures/lumen-training-curve.png from harrrshall/lumen: direct link, hf CLI and curl.
- Browser
- Download file 111 kB
-
https://huggingface.co/harrrshall/lumen/resolve/main/figures/lumen-training-curve.png
- Command line
-
hf download hf://harrrshall/lumen/figures/lumen-training-curve.png
-
curl -L -o lumen-training-curve.png https://huggingface.co/harrrshall/lumen/resolve/main/figures/lumen-training-curve.png
111 kB

- Xet hash:
- 183a56c897013ed2f7b9405e02fd7d2cc65cd5af0006d0c40eae0d492af061b6
- Size of remote file:
- 111 kB
- SHA256:
- 4f8772689cb729b4a93647a394c6b3b9e1e1073d0e7805312ad21337f54ca80c
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