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/observability/langfuse/plugin.yaml from Wellz1000/hermes-2: direct link, hf CLI and curl.
- Browser
- Download file 478 Bytes
-
https://huggingface.co/Wellz1000/hermes-2/resolve/main/plugins/observability/langfuse/plugin.yaml
- Command line
-
hf download hf://Wellz1000/hermes-2/plugins/observability/langfuse/plugin.yaml
-
curl -L -o plugin.yaml https://huggingface.co/Wellz1000/hermes-2/resolve/main/plugins/observability/langfuse/plugin.yaml
478 Bytes
| name: langfuse | |
| version: "1.0.0" | |
| description: "Optional Langfuse observability for Hermes — traces conversations, LLM calls, and tool usage. Opt-in via `hermes plugins enable observability/langfuse` or `hermes tools → Langfuse Observability`." | |
| author: NousResearch | |
| requires_env: | |
| - HERMES_LANGFUSE_PUBLIC_KEY | |
| - HERMES_LANGFUSE_SECRET_KEY | |
| hooks: | |
| - pre_api_request | |
| - post_api_request | |
| - pre_llm_call | |
| - post_llm_call | |
| - pre_tool_call | |
| - post_tool_call | |