Instructions to use vs4vijay/neuronauts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vs4vijay/neuronauts with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B") model = PeftModel.from_pretrained(base_model, "vs4vijay/neuronauts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 567b70fba98b73e5decc088572c72a577b7cefd253124caedb63419eddd0489e
- Size of remote file:
- 6.1 kB
- SHA256:
- e8c921e28441784b5385abaf8dad3a34d5aa020081ad9d68788c62ec9fdda80a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.