Image Segmentation
KerasFormers
Keras
PyTorch
JAX
TensorFlow
mobilevit
deeplabv3
semantic-segmentation
Instructions to use zeromodels/mobilevit_s_deeplabv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/mobilevit_s_deeplabv3 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 zeromodels/mobilevit_s_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_s_deeplabv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3d76fa6b5c19c315afba2715ba1d3c0511ae15a1a98fa3599968bf78dfd645d
- Size of remote file:
- 26.1 MB
- SHA256:
- e71f5317aab37ff304e01f7e9484f4181fa14ae123d9abb292aa8157832201a6
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