Set `library_name` to `tf-keras`.

Model 'keras-io/Image-Classification-using-EANet' 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This PR updates the model card to replace the explicit `library_name: keras` metadata which is now outdated by `library_name: tf-keras`.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

@@ -1,32 +1,27 @@
 ---
-language: 
-  - en
-
-thumbnail:
-
+language:
+- en
+library_name: tf-keras
+license: apache-2.0
+metrics:
+- accuracy
 tags:
-- keras
 - tensorflow
 - image-classification
-
-library_name: generic
 libraries: TensorBoard
-license: apache-2.0
-metrics:
-- accuracy
 model-index:
 - name: Image-Classification-using-EANet
   results:
-  - task: 
+  - task:
       type: Image-Classification-using-EANet
     dataset:
-      type: Image
       name: CIFAR100
+      type: Image
     metrics:
     - type: accuracy
       value: []
     - type: validation loss
-      value: [] 
+      value: []
 ---
 
 ## Image-Classification-using-EANet with Keras