Instructions to use tomaszki/model-long-acc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-long-acc-2 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-long-acc-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7b205aacb156464467a6ec6b3c6672e9b279f5f18bb59020a45db31c88fa470
- Size of remote file:
- 168 MB
- SHA256:
- 69aaf9aa80ebec035fbca56f15417354f9527e37cc3031b8d546ad6d3d40f93f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.