Instructions to use DBPat3EC1/Llama3_API with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use DBPat3EC1/Llama3_API with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("DBPat3EC1/Llama3_API", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from DBPat3EC1/Llama3_API: direct link, hf CLI and curl.
- Browser
- Download file 293 Bytes
-
https://huggingface.co/DBPat3EC1/Llama3_API/resolve/main/README.md
- Command line
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hf download hf://DBPat3EC1/Llama3_API/README.md
-
curl -L -o README.md https://huggingface.co/DBPat3EC1/Llama3_API/resolve/main/README.md
293 Bytes
metadata
license: llama3.3
datasets:
- HuggingFaceFW/fineweb
- open-thoughts/OpenThoughts-114k
- FreedomIntelligence/medical-o1-reasoning-SFT
language:
- en
metrics:
- bleurt
base_model:
- meta-llama/Llama-3.2-3B-Instruct
new_version: Zyphra/Zonos-v0.1-hybrid
library_name: adapter-transformers