Instructions to use tianding/ding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use tianding/ding with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("tianding/ding", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from tianding/ding: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
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https://huggingface.co/tianding/ding/resolve/main/README.md
- Command line
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hf download hf://tianding/ding/README.md
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curl -L -o README.md https://huggingface.co/tianding/ding/resolve/main/README.md
159 Bytes
metadata
license: bigscience-openrail-m
datasets:
- OpenAssistant/oasst1
language:
- aa
metrics:
- accuracy
library_name: adapter-transformers
tags:
- chemistry