Instructions to use same899/metaquery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use same899/metaquery with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("same899/metaquery", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Qwen2Connector_metaquery" | |
| ], | |
| "decoder_config": "Qwen/Qwen2.5-VL-3B-Instruct", | |
| "input_dim": 2048, | |
| "model_type": "qwen2_connector_metaquery", | |
| "num_hidden_layers": 6, | |
| "output_dim1": 4096, | |
| "output_dim2": 768, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.52.4" | |
| } | |