Image Segmentation
ZeroModels
Keras
PyTorch
JAX
TensorFlow
segformer
semantic-segmentation
cityscapes
Instructions to use zeromodels/segformer_b5_cityscapes_1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/segformer_b5_cityscapes_1024 with ZeroModels:
# 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/segformer_b5_cityscapes_1024 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/segformer_b5_cityscapes_1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15492334c5eb9298dd81b314598ffd56e723c565aab237f1d89f4b6fafacfad7
- Size of remote file:
- 341 MB
- SHA256:
- 359aca1875a0dfb50999b9acf0999cd85f3a65237003795c8c925c96bd657b26
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