Set `library_name` to `tf-keras`.

Model 'prabinpanta0/image_classification_with_cnns' 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This PR updates the model card to replace the explicit `library_name: keras` metadata which is now outdated by `library_name: tf-keras`.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.

README.md

@@ -1,15 +1,15 @@
 ---
-license: mit
 language: en
+library_name: tf-keras
+license: mit
 metrics: mean_squared_error
-library_name: keras
+pipeline_tag: image-classification
 tags:
 - image-classification
 - image-classification-cnns
 - Fasion_image-classification
 - tensorflow
 - neural-network
-pipeline_tag: image-classification
 ---
 
 This model was created as a practice exercise for the course "Intro to TensorFlow for Deep Learning" from Udacity, given by TensorFlow. It was trained on a dataset of TenserFlow Fashion MNIST using the cnns method. The model uses a small neural network built with TensorFlow.