Instructions to use kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/GPT4-x-Vicuna-13b-fp16") model = PeftModel.from_pretrained(base_model, "kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08/resolve/main/training_args.bin
- Command line
-
hf download hf://kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kk-aivio/c0f06e8f-d3d0-4c2f-a68e-85296edcdb08/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- e37cdf47eb23b344f4fc9e2ad992a87f5bf3e509a8fcca6adb42d59c09086fde
- Size of remote file:
- 6.78 kB
- SHA256:
- 6c6167302f10eddecc00d798c4eb35c838ee233028b0f1b9ceb0216b65e576f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.