Instructions to use mlx-community/rfdetr-base-fp32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/rfdetr-base-fp32 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/rfdetr-base-fp32 --local-dir rfdetr-base-fp32
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download preprocessor_config.json from mlx-community/rfdetr-base-fp32: direct link, hf CLI and curl.
- Browser
- Download file 203 Bytes
-
https://huggingface.co/mlx-community/rfdetr-base-fp32/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://mlx-community/rfdetr-base-fp32/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/mlx-community/rfdetr-base-fp32/resolve/main/preprocessor_config.json
203 Bytes
| { | |
| "config": { | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ] | |
| }, | |
| "post_process_config": { | |
| "num_select": 300 | |
| } | |
| } |