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
|
Download README.md from tianding/ding: direct link, hf CLI and curl.
- Browser
- Download file 159 Bytes
-
https://huggingface.co/tianding/ding/resolve/main/README.md
- Command line
-
hf download hf://tianding/ding/README.md
-
curl -L -o README.md https://huggingface.co/tianding/ding/resolve/main/README.md
159 Bytes
| license: bigscience-openrail-m | |
| datasets: | |
| - OpenAssistant/oasst1 | |
| language: | |
| - aa | |
| metrics: | |
| - accuracy | |
| library_name: adapter-transformers | |
| tags: | |
| - chemistry | |