Instructions to use wolfaiOM/Wolfai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use wolfaiOM/Wolfai with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("wolfaiOM/Wolfai", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download query.sh from wolfaiOM/Wolfai: direct link, hf CLI and curl.
- Browser
- Download file 353 Bytes
-
https://huggingface.co/wolfaiOM/Wolfai/resolve/main/query.sh
- Command line
-
hf download hf://wolfaiOM/Wolfai/query.sh
-
curl -L -o query.sh https://huggingface.co/wolfaiOM/Wolfai/resolve/main/query.sh
353 Bytes
| curl https://api.deepseek.com/chat/completions \ | |
| -H "Content-Type: application/json" \ | |
| -H "Authorization: Bearer sk-94af74f2b4fe4e98a8b1ec389dc6ec4b" \ | |
| -d '{ | |
| "model": "deepseek-reasoner", | |
| "messages": [ | |
| {"role": "system", "content": "You are a helpful assistant."}, | |
| {"role": "user", "content": "Hello!"} | |
| ], | |
| "stream": false | |
| }' | |