Instructions to use tomaszki/model-22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-22 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-22") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from tomaszki/model-22: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/tomaszki/model-22/resolve/main/adapter_model.bin
- Command line
-
hf download hf://tomaszki/model-22/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/tomaszki/model-22/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- eafc9c4d7c482e10777f0cdb598eabd03f3037acf66038324ba69822c87da5f3
- Size of remote file:
- 168 MB
- SHA256:
- 3c8c952800301dbe2854306f4b98711e5384af48394cad7942c0e72ce38c97bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.