Image Segmentation
KerasFormers
Keras
PyTorch
JAX
TensorFlow
mobilevit
deeplabv3
semantic-segmentation
Instructions to use zeromodels/mobilevitv2_100_deeplabv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/mobilevitv2_100_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/mobilevitv2_100_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_100_deeplabv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fe7274e81f4e3cf772d0fb817c7cce4dbfa18e2a05b778fff2bb3e0f8a4c995
- Size of remote file:
- 53.9 MB
- SHA256:
- b719891b0d764eba6ae4fa5c299592be235f2203d412471e7f2e62ce2f8ec387
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