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