Image Segmentation
Keras
PyTorch
JAX
TensorFlow
zeromodels
mobilevit
deeplabv3
semantic-segmentation
Instructions to use zeromodels/mobilevitv2_150_deeplabv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/mobilevitv2_150_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/mobilevitv2_150_deeplabv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b653cc2a46590a88d8daa6ec02df5cb386a5a77197b8ecc65ac2f37b11749cc
- Size of remote file:
- 91 MB
- SHA256:
- 80f7b73fdfd04f1dde6b8b76c482760a9b27c08d72b95928411d4a9a47446d1c
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