Instructions to use tomaszki/model-long-acc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tomaszki/model-long-acc-3 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-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b331b7529cbfb9482b5bc18c3896c0f808270be335203466a6fa76ce4cf43897
- Size of remote file:
- 168 MB
- SHA256:
- d8b4e3b7822b8cb5f2373bef1a2607fea07228161c52b68434bbe50d22786ae8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.