Instructions to use cuervjos/alpacaIOD-7b-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cuervjos/alpacaIOD-7b-plus with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("decapoda-research/llama-7b-hf") model = PeftModel.from_pretrained(base_model, "cuervjos/alpacaIOD-7b-plus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbd19b72267f46f875ee0fb8cd5f885586474f8348148ac1479975a0352839d5
- Size of remote file:
- 16.8 MB
- SHA256:
- 2e6ba9197c91be68c154744ab025bd2d7eba894d5e48862565a48734c188cc44
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.