Image Segmentation
ZeroModels
Keras
PyTorch
JAX
TensorFlow
segformer
semantic-segmentation
cityscapes
Instructions to use zeromodels/segformer_b3_cityscapes_1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/segformer_b3_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_b3_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_b3_cityscapes_1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06239024c1ef5991d6828a6dac7846abc4fc124bc012f5788a307ddd60784cba
- Size of remote file:
- 191 MB
- SHA256:
- 9f3d9bbb643f36d04e6ad876714fbb2e116e2e4b0d1345525d7b5964ffe30cdc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.