Instructions to use wnma3mz/Janus-Pro-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use wnma3mz/Janus-Pro-7B with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download wnma3mz/Janus-Pro-7B --local-dir Janus-Pro-7B
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download preprocessor_config.json from wnma3mz/Janus-Pro-7B: direct link, hf CLI and curl.
- Browser
- Download file 346 Bytes
-
https://huggingface.co/wnma3mz/Janus-Pro-7B/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://wnma3mz/Janus-Pro-7B/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/wnma3mz/Janus-Pro-7B/resolve/main/preprocessor_config.json
346 Bytes
| { | |
| "background_color": [ | |
| 127, | |
| 127, | |
| 127 | |
| ], | |
| "do_normalize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "VLMImageProcessor", | |
| "image_size": 384, | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "min_size": 14, | |
| "processor_class": "VLChatProcessor", | |
| "rescale_factor": 0.00392156862745098 | |
| } | |