Instructions to use eac123/qwen14b-subliminal-learning-persona-humor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eac123/qwen14b-subliminal-learning-persona-humor 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/qwen14b-subliminal-learning-persona-humor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65d0bdd1c3963a53567fe6b7c258747699513bfc1bce3489201c92b55989b781
- Size of remote file:
- 16 kB
- SHA256:
- 03c41f823d2a63b9d90868842626ba424796d0ca18abd7c4566d4513172719dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.