Image Segmentation
Keras
LiteRT
English
satellite-imagery
earth-observation
remote-sensing
semantic-segmentation
u-net
inceptionresnetv2
edge-ai
post-training-quantization
Instructions to use iamabhayaditya/InceptionResNetV2-UNet-MBRSC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use iamabhayaditya/InceptionResNetV2-UNet-MBRSC with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://iamabhayaditya/InceptionResNetV2-UNet-MBRSC") - Notebooks
- Google Colab
- Kaggle
Ctrl+K