Image Segmentation
Keras
PyTorch
JAX
TensorFlow
zeromodels
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
- 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
Upload folder using huggingface_hub
Browse files- README.md +18 -0
- model.weights.h5 +3 -0
README.md
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---
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pipeline_tag: image-segmentation
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license: apple-amlr
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library_name: kerasformers
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tags:
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- keras
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- kerasformers
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- mobilevit
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---
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# mobilevit_s_deeplabv3 (Keras 3)
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Pure-Keras 3 weights for [kerasformers](https://github.com/IMvision12/KerasFormers), mirrored from the source. License: `apple-amlr`.
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```python
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from kerasformers.models.mobilevit import MobileViTSemanticSegment
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model = MobileViTSemanticSegment.from_weights("mobilevit_s_deeplabv3")
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```
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:e71f5317aab37ff304e01f7e9484f4181fa14ae123d9abb292aa8157832201a6
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size 26134528
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