Instructions to use demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a: direct link, hf CLI and curl.
- Browser
- Download file 125 MB
-
https://huggingface.co/demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/demohong/e54ae9d9-8b9e-4f4d-9a5e-debe4a11be2a/resolve/main/adapter_model.safetensors
125 MB
- Xet hash:
- 489f1b5a68fc9f18e603e423dea0aafc0867ca948899c19c5a1d192ca096e76d
- Size of remote file:
- 125 MB
- SHA256:
- 8c53cc44c48aff51002af7af8210f03e4faba17532b93b70f59abe8821c70fc8
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