Image Classification
Keras
LiteRT
English
Research
Education
Science and Technology
Artificial Intelligence
Computer Science
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
File size: 131 Bytes
202f867 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1fb95f2a4ca80e8bc8e6c98267b34b31478353e619daac74a59f54cf4b7ff475
size 845176
|