Keras
English
remote-sensing
multispectral
hyperspectral
uncertainty-quantification
conformal-prediction
Instructions to use DaneshSelwal/Classification-6Bands-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DaneshSelwal/Classification-6Bands-Models 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://DaneshSelwal/Classification-6Bands-Models") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3dd71a8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:46556c3ab353637cff398036d4729fce22d7da28a2c92532a2cab489f9628758
size 272142473
|