Image Classification
Keras
LiteRT
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Computer Vision
CNN
Image
Keras
TensorFlow
Python
Instructions to use me-aas/EinsteinNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use me-aas/EinsteinNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://me-aas/EinsteinNet") - Notebooks
- Google Colab
- Kaggle
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