How to use Udit013/brain-tumor-efficientnetb3 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://Udit013/brain-tumor-efficientnetb3")
https://huggingface.co/Udit013/brain-tumor-efficientnetb3/resolve/main/temperature.json
hf download hf://Udit013/brain-tumor-efficientnetb3/temperature.json
curl -L -o temperature.json https://huggingface.co/Udit013/brain-tumor-efficientnetb3/resolve/main/temperature.json
