Instructions to use Wellz1000/hermes-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use Wellz1000/hermes-2 with HERMES:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download plugins/web/__init__.py from Wellz1000/hermes-2: direct link, hf CLI and curl.
- Browser
- Download file 301 Bytes
-
https://huggingface.co/Wellz1000/hermes-2/resolve/main/plugins/web/__init__.py
- Command line
-
hf download hf://Wellz1000/hermes-2/plugins/web/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Wellz1000/hermes-2/resolve/main/plugins/web/__init__.py
301 Bytes
| # Bundled web search providers — plugins/web/. | |
| # | |
| # Each subdirectory follows the image_gen plugin layout: | |
| # plugins/web/<name>/{plugin.yaml, __init__.py, provider.py} | |
| # | |
| # They auto-load via kind: backend and register via | |
| # ctx.register_web_search_provider() into agent.web_search_registry. | |