Instructions to use danielle2035/intel-classifier-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use danielle2035/intel-classifier-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://danielle2035/intel-classifier-models") - Notebooks
- Google Colab
- Kaggle
| # Models folder | |
| Place your trained model files in this folder: | |
| - `pytorch_model.pth` (PyTorch model) | |
| - `model_best.keras` (TensorFlow model) | |
| If these files are not present, the app will not be able to classify images. | |