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 processor_config.json from rAVEUK/Janus-Pro-7B: direct link, hf CLI and curl.
- Browser
- Download file 79 Bytes
-
https://huggingface.co/rAVEUK/Janus-Pro-7B/resolve/main/processor_config.json
- Command line
-
hf download hf://rAVEUK/Janus-Pro-7B/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/rAVEUK/Janus-Pro-7B/resolve/main/processor_config.json
79 Bytes
| { | |
| "processor_class": "JanusProcessor", | |
| "use_default_system_prompt": true | |
| } | |