Set `library_name` to `tf-keras`.

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This PR updates the model card to replace the explicit `library_name: keras` metadata which is now outdated by `library_name: tf-keras`.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

@@ -1,13 +1,3 @@
----
-tags:
-- xray-ribs-segmentation
-library_name: keras
----
-## Model description
-The original idea from [ResUNET++](https://arxiv.org/pdf/1911.07067.pdf)
-
-Full credits go to [SynthesisHealthIntelligenceInc](https://synthesishealthinc.com/)
-
-Ribs segmentation is a crucial step for removing the ribs before a diagnosis of x-ray images
-## Dataset
-[vindr-ribs](https://vindr.ai/datasets/ribcxr) 
+version https://git-lfs.github.com/spec/v1
+oid sha256:d9b3e4805dcca3c4fa8a203c4d6f6a79d3be9416d3701f3557c40bfd3004819a
+size 394