Instructions to use tomaszki/model-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tomaszki/nous-thirty-four-0") model = PeftModel.from_pretrained(base_model, "tomaszki/model-5") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from tomaszki/model-5: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/tomaszki/model-5/resolve/main/adapter_model.bin
- Command line
-
hf download hf://tomaszki/model-5/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/tomaszki/model-5/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- f00e7380d3cc9a1b063b46d964b1d85d642032f5591986711b669ef4b69e1a82
- Size of remote file:
- 168 MB
- SHA256:
- 20da02c954615f53669a35a5ebfd043928ee1b9996929f58dd0995ee710ec0c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.