Instructions to use chauhoang/64281073-d2b7-49c7-96fd-17400335395b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/64281073-d2b7-49c7-96fd-17400335395b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "chauhoang/64281073-d2b7-49c7-96fd-17400335395b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from chauhoang/64281073-d2b7-49c7-96fd-17400335395b: direct link, hf CLI and curl.
- Browser
- Download file 108 MB
-
https://huggingface.co/chauhoang/64281073-d2b7-49c7-96fd-17400335395b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://chauhoang/64281073-d2b7-49c7-96fd-17400335395b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chauhoang/64281073-d2b7-49c7-96fd-17400335395b/resolve/main/adapter_model.bin
108 MB
- Xet hash:
- d70b35ba59a78476c632379b91f6721801e2db0df55fdda14969c0e9c2478852
- Size of remote file:
- 108 MB
- SHA256:
- 23ce0db36ffc63ae56ebd368fc81963ce907e0c20c95fa4cf854159667a910e9
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