Instructions to use eac123/clean-subliminal-learning-foxes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eac123/clean-subliminal-learning-foxes with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "eac123/clean-subliminal-learning-foxes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd4f7e7d5654f710280b62f82a4853e14dbe8c80a72adb7fa526538b333f0f2d
- Size of remote file:
- 5.65 kB
- SHA256:
- ba8c0bbd62ab7f672caa8c9fadedd81c7ce092ef0c73647c4944c4744cf64735
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.