Instructions to use KoshkaTian/Ket with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use KoshkaTian/Ket with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("KoshkaTian/Ket", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from KoshkaTian/Ket: direct link, hf CLI and curl.
- Browser
- Download file 205 Bytes
-
https://huggingface.co/KoshkaTian/Ket/resolve/main/README.md
- Command line
-
hf download hf://KoshkaTian/Ket/README.md
-
curl -L -o README.md https://huggingface.co/KoshkaTian/Ket/resolve/main/README.md
205 Bytes
metadata
license: apache-2.0
datasets:
- openbmb/UltraData-Math
language:
- aa
metrics:
- accuracy
base_model:
- zai-org/GLM-5
new_version: zai-org/GLM-5
library_name: adapter-transformers
tags:
- chemistry