Instructions to use Alpha-VLLM/Lumina-mGPT-7B-768 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 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768") model = AutoModelForSeq2SeqLM.from_pretrained("Alpha-VLLM/Lumina-mGPT-7B-768") - Notebooks
- Google Colab
- Kaggle
File size: 668 Bytes
0ddb291 9df596b db8976f 0ddb291 547283e e84134c 305c623 547283e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ---
pipeline_tag: any-to-any
tags:
- Any2Any
- Image+Text-to-Text
---
**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.
[](https://arxiv.org/abs/2408.02657)

# Usage
We provide the implementation of Lumina-mGPT, as well as sampling code, in our [github repository](https://github.com/Alpha-VLLM/Lumina-mGPT). |