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
File size: 221 Bytes
8d95f09 | 1 2 3 4 5 6 7 8 9 | # 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.
|