How to use seige-ml/DeepSeeNet_DRUSEN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://seige-ml/DeepSeeNet_DRUSEN")
https://huggingface.co/seige-ml/DeepSeeNet_DRUSEN/resolve/cacd45e5f737f6fe6d0ca8ca0da294576ffac481/variables/variables.index
hf download hf://seige-ml/DeepSeeNet_DRUSEN@cacd45e5f737f6fe6d0ca8ca0da294576ffac481/variables/variables.index
curl -L -o variables.index https://huggingface.co/seige-ml/DeepSeeNet_DRUSEN/resolve/cacd45e5f737f6fe6d0ca8ca0da294576ffac481/variables/variables.index
