Instructions to use NorahAlshahrani/2dCNNmsda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use NorahAlshahrani/2dCNNmsda with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("NorahAlshahrani/2dCNNmsda") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
#1
by Wauplin HF Staff - opened
Model 'NorahAlshahrani/2dCNNmsda' seems to be compatible only with "Keras 2" and not "Keras 3". To distinguish them, models compatible with legacy Keras 2.x should be tagged as tf-keras while models compatible with Keras 3.x are tagged as keras.
This PR updates the model card to replace the explicit library_name: keras metadata which is now outdated by library_name: tf-keras. Updating this metadata will facilitate its discoverability and usage.
For more information about keras and tf-keras library names, check out this pull request: https://github.com/huggingface/huggingface.js/pull/774.
Thank you.
NorahAlshahrani changed pull request status to merged