Instructions to use naver-hyperclovax/HyperCLOVAX-SEED-Omni-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naver-hyperclovax/HyperCLOVAX-SEED-Omni-8B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("naver-hyperclovax/HyperCLOVAX-SEED-Omni-8B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Turnkey local demo for Seed-Omni-8B for DGX Spark
#2
by coder543 - opened
I have spent 15+ hours creating this: https://github.com/coder543/seed-omni-spark
On an Nvidia DGX Spark, you simply clone the repo and run ./start.sh, and it will download and compile all necessary dependencies. At the end, you will have a web UI for chatting with Seed-Omni-8B.
More info here: https://forums.developer.nvidia.com/t/turnkey-demo-for-seed-omni-8b/356389