Any-to-Any
Transformers
Safetensors
janus
image-text-to-text
muiltimodal
text-to-image
unified-model
Instructions to use rAVEUK/Janus-Pro-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rAVEUK/Janus-Pro-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("rAVEUK/Janus-Pro-7B") model = AutoModelForMultimodalLM.from_pretrained("rAVEUK/Janus-Pro-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from rAVEUK/Janus-Pro-7B: direct link, hf CLI and curl.
- Browser
- Download file 465 Bytes
-
https://huggingface.co/rAVEUK/Janus-Pro-7B/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://rAVEUK/Janus-Pro-7B/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/rAVEUK/Janus-Pro-7B/resolve/main/preprocessor_config.json
465 Bytes
| { | |
| "background_color": [ | |
| 127, | |
| 127, | |
| 127 | |
| ], | |
| "do_convert_rgb": null, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "JanusImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "min_size": 14, | |
| "processor_class": "JanusProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 384, | |
| "width": 384 | |
| } | |
| } | |