Instructions to use c1park/upload-test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use c1park/upload-test3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/KoAlpaca-Polyglot-5.8B") model = PeftModel.from_pretrained(base_model, "c1park/upload-test3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from c1park/upload-test3: direct link, hf CLI and curl.
- Browser
- Download file 14.7 MB
-
https://huggingface.co/c1park/upload-test3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://c1park/upload-test3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/c1park/upload-test3/resolve/main/adapter_model.bin
14.7 MB
- Xet hash:
- 200c88f4564bff7bd8b8c9c4aa3729d4c38e219c0c058477e2edfb000abbdb19
- Size of remote file:
- 14.7 MB
- SHA256:
- f8a1892e41eac3eef9b7f72105441a83d6b6d3ca0418e3f2719726ac33179078
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.