Instructions to use riku1111/expert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use riku1111/expert2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "riku1111/expert2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from riku1111/expert2: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/riku1111/expert2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://riku1111/expert2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/riku1111/expert2/resolve/main/adapter_model.bin
33.6 MB
- Xet hash:
- 2931a5d4ad3cb49f0cc3ff28fc876e5fca4f1301189cc036c31c49b0229ba7fc
- Size of remote file:
- 33.6 MB
- SHA256:
- ecc9e93da36c606d8742fcf7fce938ea4912486b942e48c6a58cec952d92d4bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.