Image Segmentation
Keras
PyTorch
JAX
TensorFlow
zeromodels
mobilevit
deeplabv3
semantic-segmentation
Instructions to use zeromodels/mobilevit_xs_deeplabv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/mobilevit_xs_deeplabv3 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/mobilevit_xs_deeplabv3") - Notebooks
- Google Colab
- Kaggle
File size: 477 Bytes
623d4da 8b9793c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"library_name": "zeromodels",
"preprocessor_module": "zeromodels.models.mobilevit",
"preprocessor_class": "MobileViTImageProcessor",
"variant": null,
"size": {
"shortest_edge": 544
},
"crop_size": {
"height": 512,
"width": 512
},
"resample": "bilinear",
"do_resize": true,
"do_center_crop": true,
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_flip_channel_order": true,
"return_tensor": true,
"data_format": null
} |