Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`bert-base-multilingual-cased`](https://huggingface.co/bert-base-multilingual-cased) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien). Your input is invaluable to us!

README.md

@@ -1,21 +1,22 @@
 ---
 language:
 - tr
+license: mit
 tags:
 - zero-shot-classification
 - nli
 - pytorch
-pipeline_tag: zero-shot-classification
-license: mit
 datasets:
 - nli_tr
 metrics:
 - accuracy
+pipeline_tag: zero-shot-classification
 widget:
-- text: "Dolar yükselmeye devam ediyor."
-  candidate_labels: "ekonomi, siyaset, spor"
-- text: "Senaryo çok saçmaydı, beğendim diyemem."
-  candidate_labels: "olumlu, olumsuz"
+- text: Dolar yükselmeye devam ediyor.
+  candidate_labels: ekonomi, siyaset, spor
+- text: Senaryo çok saçmaydı, beğendim diyemem.
+  candidate_labels: olumlu, olumsuz
+base_model: bert-base-multilingual-cased
 ---
 
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