Instructions to use Alpha-VLLM/Lumina-mGPT-7B-768-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alpha-VLLM/Lumina-mGPT-7B-768-Omni with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768-Omni") model = AutoModelForSeq2SeqLM.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768-Omni") - Notebooks
- Google Colab
- Kaggle
metadata
pipeline_tag: any-to-any
tags:
- Any2Any
Lumina-mGPT is a family of multimodal autoregressive models capable of various vision and language tasks, particularly excelling in generating flexible photorealistic images from text descriptions.
Usage
We provide the implementation of Lumina-mGPT, as well as sampling code, in our github repository.
