Instructions to use Alpha-VLLM/Chameleon_7B_mGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alpha-VLLM/Chameleon_7B_mGPT with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Alpha-VLLM/Chameleon_7B_mGPT") model = AutoModelForImageTextToText.from_pretrained("Alpha-VLLM/Chameleon_7B_mGPT") - Notebooks
- Google Colab
- Kaggle
New 7B?
#1
by IndrasMirror - opened
So should I be using this 7B model in my wrapper instead, is this the 768 target size model?
So should I be using this 7B model in my wrapper instead, is this the 768 target size model?
No, this is the weight of the original Chameleon-7B (from Meta) model, used for mode initialization when reproducing the training of Lumina-mGPT.