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/memory/mem0/plugin.yaml from Wellz1000/hermes-2: direct link, hf CLI and curl.
- Browser
- Download file 212 Bytes
-
https://huggingface.co/Wellz1000/hermes-2/resolve/main/plugins/memory/mem0/plugin.yaml
- Command line
-
hf download hf://Wellz1000/hermes-2/plugins/memory/mem0/plugin.yaml
-
curl -L -o plugin.yaml https://huggingface.co/Wellz1000/hermes-2/resolve/main/plugins/memory/mem0/plugin.yaml
212 Bytes
| name: mem0 | |
| version: 1.3.0 | |
| description: "Mem0 — server-side LLM fact extraction with semantic search, automatic deduplication, and opt-in reranking (platform mode)." | |
| pip_dependencies: | |
| - mem0ai>=2.0.10,<3 | |