Instructions to use swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/swoos/llama-2-7b-unsloth-KoCoT-2000-final-adapter/resolve/main/adapter_model.safetensors
160 MB
- Xet hash:
- d52d195ef5bde4bb2970fe0a72a2417f1468777736dd04daa81d31bc3c6a6d91
- Size of remote file:
- 160 MB
- SHA256:
- a5209a8ddf5ba6001aee7c60e139b813d68be84b7a284a8ae6efb008a0272b5d
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