Instructions to use OfficialAC18/LLaMA-2-7B-guanaco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use OfficialAC18/LLaMA-2-7B-guanaco with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("OfficialAC18/LLaMA-2-7B-guanaco", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OfficialAC18/LLaMA-2-7B-guanaco: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/OfficialAC18/LLaMA-2-7B-guanaco/resolve/main/tokenizer.json
- Command line
-
hf download hf://OfficialAC18/LLaMA-2-7B-guanaco/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OfficialAC18/LLaMA-2-7B-guanaco/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.