Instructions to use deepseek-ai/JanusFlow-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepseek-ai/JanusFlow-1.3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import MultiModalityCausalLM model = MultiModalityCausalLM.from_pretrained("deepseek-ai/JanusFlow-1.3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from deepseek-ai/JanusFlow-1.3B: direct link, hf CLI and curl.
- Browser
- Download file 439 Bytes
-
https://huggingface.co/deepseek-ai/JanusFlow-1.3B/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://deepseek-ai/JanusFlow-1.3B/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/deepseek-ai/JanusFlow-1.3B/resolve/main/preprocessor_config.json
439 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 | |
| ], | |
| "interpolate_mode": "bilinear", | |
| "max_size": 1536, | |
| "min_size": 14, | |
| "processor_class": "OmniProcessor", | |
| "rescale_factor": 0.00392156862745098, | |
| "resize_strategy": "aspect_ratio_pad" | |
| } | |