Set `library_name` to `tf-keras`.

Model 'BasStein/doe2vec-d10-m8-ls24-VAE-kl0.001' 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This PR updates the model card to replace the explicit `library_name: keras` metadata which is now outdated by `library_name: tf-keras`.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

@@ -1,22 +1,22 @@
 ---
+datasets:
+- BasStein/250000-randomfunctions-10d
 language:
 - en
+library_name: tf-keras
 license: apache-2.0
-library_name: keras
+metrics:
+- mse
 tags:
 - doe2vec
 - exploratory-landscape-analysis
 - autoencoders
-datasets:
-- BasStein/250000-randomfunctions-10d
-metrics:
-- mse
 co2_eq_emissions:
   emissions: 0.0363
-  source: "code carbon"
-  training_type: "pre-training"
-  geographical_location: "Leiden, The Netherlands"
-  hardware_used: "1 Tesla T4"
+  source: code carbon
+  training_type: pre-training
+  geographical_location: Leiden, The Netherlands
+  hardware_used: 1 Tesla T4
 ---
 
 ## Model description