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.safetensors from nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/nhoxinh/36e0a5aa-e95c-40df-824a-032d2655c1c2/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- c4e7c0b1c84a7ede67ba63791fa73eb4703ee86ff8c69b4aa3a6b038663dbe9e
- Size of remote file:
- 83.9 MB
- SHA256:
- 17574d8867192b59a479fde6a71e26b41e6c50c74d99cb4fa49f9ca65bb78202
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