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
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https://huggingface.co/DBPat3EC1/Llama3_API/resolve/main/README.md
- Command line
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hf download hf://DBPat3EC1/Llama3_API/README.md
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curl -L -o README.md https://huggingface.co/DBPat3EC1/Llama3_API/resolve/main/README.md
293 Bytes
| 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 | |