Instructions to use pp-beta/newmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pp-beta/newmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "pp-beta/newmodel") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from pp-beta/newmodel: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/pp-beta/newmodel/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://pp-beta/newmodel/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/pp-beta/newmodel/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- 2855ee7a50b088b461c23550fd46fdf92f984ccf748e7d88098c0ef3d78eaccb
- Size of remote file:
- 83.9 MB
- SHA256:
- e5070b2495c909238960a53d255bde14c865699979243aee066fc68f54945bc1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.