Instructions to use MAGAer13/mplug-owl-llama-7b-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MAGAer13/mplug-owl-llama-7b-ft with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="MAGAer13/mplug-owl-llama-7b-ft")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("MAGAer13/mplug-owl-llama-7b-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#1
by Marcushenriksboe - opened
I'd like to cite these weights :)
@article {ye2023mplugowl,
title={mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality},
author={Qinghao Ye and Haiyang Xu and Guohai Xu and Jiabo Ye and Ming Yan and Yiyang Zhou and Junyang Wang and Anwen Hu and Pengcheng Shi and Yaya Shi and Chaoya Jiang and Chenliang Li and Yuanhong Xu and Hehong Chen and Junfeng Tian and Qian Qi and Ji Zhang and Fei Huang},
journal={ArXiv},
year={2023},
volume={abs/2304.14178}
}
Hi, here is the citation.