Instructions to use WrldKING/wrldking-notes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use WrldKING/wrldking-notes with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("WrldKING/wrldking-notes", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b
language:
- ae
metrics:
- accuracy
base_model:
- moonshotai/Kimi-K2.5
new_version: moonshotai/Kimi-K2.5
pipeline_tag: text-classification
library_name: adapter-transformers
tags:
- chemistry