Instructions to use hardikprakash/intel-image-classification-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hardikprakash/intel-image-classification-cnn with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hardikprakash/intel-image-classification-cnn") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| metrics: | |
| - f1 | |
| - accuracy | |
| - recall | |
| - precision | |
| pipeline_tag: image-classification | |
| library_name: keras | |