Instructions to use zeromodels/maskformer-swin-tiny-coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/maskformer-swin-tiny-coco with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/maskformer-swin-tiny-coco") - Keras
How to use zeromodels/maskformer-swin-tiny-coco with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/maskformer-swin-tiny-coco") - Notebooks
- Google Colab
- Kaggle
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
1e3840d verified Download zm_preprocessor.json from zeromodels/maskformer-swin-tiny-coco: direct link, hf CLI and curl.
- Browser
- Download file 349 Bytes
-
https://huggingface.co/zeromodels/maskformer-swin-tiny-coco/resolve/main/zm_preprocessor.json
- Command line
-
hf download hf://zeromodels/maskformer-swin-tiny-coco/zm_preprocessor.json
-
curl -L -o zm_preprocessor.json https://huggingface.co/zeromodels/maskformer-swin-tiny-coco/resolve/main/zm_preprocessor.json
349 Bytes
| { | |
| "library_name": "zeromodels", | |
| "zeromodels_version": "1.1.3", | |
| "preprocessor_module": "zeromodels.models.maskformer", | |
| "preprocessor_class": "MaskFormerImageProcessor", | |
| "variant": null, | |
| "target_size": 384, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "data_format": null | |
| } |