Instructions to use keras-io/Image-Classification-using-EANet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/Image-Classification-using-EANet with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/Image-Classification-using-EANet") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add model
af6308d -
Add model
169b400 -
Add model
28f7f73 -
Add model
be40a78 -
Add model
636fb77 -
Add model
1fdd452 -
Add model
9b4706d
-
Delete variables/readme.md
ddd52e7 -
Upload variables/variables.data-00000-of-00001
c459a84 -
Upload variables/variables.index
b4e6a92 -
Create readme.md
5a707bc -
Delete variables
a22775a -
Create variables
46c88d6