Instructions to use MGeorgieff/ResNet151V2_GRADCAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MGeorgieff/ResNet151V2_GRADCAM with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MGeorgieff/ResNet151V2_GRADCAM") - Notebooks
- Google Colab
- Kaggle