Instructions to use Library-Mutsumi/camie_tagger_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Library-Mutsumi/camie_tagger_onnx with timm:
import timm model = timm.create_model("hf-hub:Library-Mutsumi/camie_tagger_onnx", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download initial/preprocess.json from Library-Mutsumi/camie_tagger_onnx: direct link, hf CLI and curl.
- Browser
- Download file 355 Bytes
-
https://huggingface.co/Library-Mutsumi/camie_tagger_onnx/resolve/main/initial/preprocess.json
- Command line
-
hf download hf://Library-Mutsumi/camie_tagger_onnx/initial/preprocess.json
-
curl -L -o preprocess.json https://huggingface.co/Library-Mutsumi/camie_tagger_onnx/resolve/main/initial/preprocess.json
355 Bytes
| { | |
| "stages": [ | |
| { | |
| "background_color": [ | |
| 0, | |
| 0, | |
| 0 | |
| ], | |
| "interpolation": "lanczos", | |
| "size": [ | |
| 512, | |
| 512 | |
| ], | |
| "type": "pad_to_size" | |
| }, | |
| { | |
| "type": "to_tensor" | |
| } | |
| ] | |
| } |