Instructions to use keras-io/semi-supervised-classification-simclr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/semi-supervised-classification-simclr 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/semi-supervised-classification-simclr") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Set `library_name` to `tf-keras`. (#1)
Verified signature- Set `library_name` to `tf-keras`. (e215ea8ccb748173ea819414f2d81a8b4f52c4ec) Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>1b8ea96
-
Update README.md
6e1f7c8 -
Update README.md
cec4bb3 -
Upload variables/variables.data-00000-of-00001
186c6f2 -
new model weights
Johannes Kolbe113db5c
-
Upload variables/variables.data-00000-of-00001
799ac07 -
add code and README
Johannes Kolbedf2e1d7
-
initial commit
0e9ba38