Instructions to use nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- a1ff81848a9f57ea0d83c9c0b7b1d7f0b9460790beec28198d08854262560720
- Size of remote file:
- 84 MB
- SHA256:
- 53b8491584a03a717a1ccb2dc718e4b134e298cfe729ae2336393fd539b7bad0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.