Image Segmentation
Keras
ONNX
English
tensorflow
medical-imaging
segmentation
in-context-learning
interactive-segmentation
ct
mri
Instructions to use machauer-p/lisp-net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use machauer-p/lisp-net with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://machauer-p/lisp-net") - Notebooks
- Google Colab
- Kaggle
Upload lisp_net_332.onnx
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