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
| 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). |