Instructions to use lil-lab/CoLMLM-Question-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lil-lab/CoLMLM-Question-Generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "lil-lab/CoLMLM-Question-Generator") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from lil-lab/CoLMLM-Question-Generator: direct link, hf CLI and curl.
- Browser
- Download file 296 MB
-
https://huggingface.co/lil-lab/CoLMLM-Question-Generator/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://lil-lab/CoLMLM-Question-Generator/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/lil-lab/CoLMLM-Question-Generator/resolve/main/adapter_model.safetensors
296 MB
- Xet hash:
- 92dda3c70ef9bab2c2c6f3446a9b047106220ccb7a9641b5cd01673da0e12c2a
- Size of remote file:
- 296 MB
- SHA256:
- fe697e2aea054eb85b16b068f515461ce0e6f1b9f2739e6a5e72dde2d44ae1e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.