Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`nlptown/bert-base-multilingual-uncased-sentiment`](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) 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).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -4,14 +4,15 @@ tags:
 - generated_from_trainer
 datasets:
 - tweet_eval
+widget:
+- text: I love conducting research on twins!
+  example_title: Sentiment analysis - English
+- text: Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je.
+  example_title: Sentiment analysis - Dutch
+base_model: nlptown/bert-base-multilingual-uncased-sentiment
 model-index:
 - name: selims
   results: []
-widget:
-- text: "I love conducting research on twins!"
-  example_title: "Sentiment analysis - English"
-- text: "Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je."
-  example_title: "Sentiment analysis - Dutch"
 ---
 
 # selims