Instructions to use kerasformers/eomt_large_coco_panoptic_640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/eomt_large_coco_panoptic_640 with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/eomt_large_coco_panoptic_640 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/eomt_large_coco_panoptic_640") - Notebooks
- Google Colab
- Kaggle
File size: 387 Bytes
2758692 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"library_name": "kerasformers",
"kerasformers_version": "1.1.3",
"preprocessor_module": "kerasformers.models.eomt",
"preprocessor_class": "EoMTImageProcessor",
"variant": "eomt_large_coco_panoptic_640",
"target_size": 640,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"data_format": null
} |