Instructions to use Trappu/pain2-adapters-212 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Trappu/pain2-adapters-212 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zerofata/MS3.2-PaintedFantasy-24B") model = PeftModel.from_pretrained(base_model, "Trappu/pain2-adapters-212") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f6bd5f8607026f2736256ebc3a60ddc1f272bec53798b0c10976060a58fe25c
- Size of remote file:
- 5.75 kB
- SHA256:
- a808b1a76bc9dc7d9db19cc2f690af09bf5132a302d7020448c02a55865d7c3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.