Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`neuralmind/bert-base-portuguese-cased`](https://huggingface.co/neuralmind/bert-base-portuguese-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

@@ -1,17 +1,22 @@
 ---
+language:
+- en
 tags:
 - autotrain
 - text-classification
-language:
-- en
-widget:
-- text: " frases-bertimbau-v0.4 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset."
-- text: "Model description BERTa is a transformer-based masked language model for the Catalan language. It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta) base model and has been trained on a medium-size corpus collected from publicly available corpora and crawlers"
-- text: "Model description More information needed"
 datasets:
 - davanstrien/autotrain-data-dataset-mentions
+widget:
+- text: ' frases-bertimbau-v0.4 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)
+    on an unknown dataset.'
+- text: Model description BERTa is a transformer-based masked language model for the
+    Catalan language. It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta)
+    base model and has been trained on a medium-size corpus collected from publicly
+    available corpora and crawlers
+- text: Model description More information needed
 co2_eq_emissions:
   emissions: 0.008999666562870793
+base_model: neuralmind/bert-base-portuguese-cased
 ---
 
 # Model Trained Using AutoTrain