Instructions to use tomaszki/model-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-25 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-25") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11e949158fa2e30668c78fa6cebafdb6d2c0bf416439bc9fb67f4315447f7bdf
- Size of remote file:
- 168 MB
- SHA256:
- 87900563415270023c2a807df63f9e59184b4eb3611d2d1c44f570d1fc24bac6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.