Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`spanish-t5-small`](https://huggingface.co/spanish-t5-small) 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

@@ -1,7 +1,7 @@
 ---
 language:
 - es
-license: apache-2.0  
+license: apache-2.0
 tags:
 - Text2Text Generation
 - Inclusive Language
@@ -11,28 +11,26 @@ datasets:
 - hackathon-pln-es/neutral-es
 metrics:
 - sacrebleu
-
-
-
+base_model: spanish-t5-small
 model-index:
 - name: es_text_neutralizer
   results:
-  - task: 
+  - task:
       type: Text2Text Generation
       name: Neutralization of texts in Spanish
     dataset:
-      type: hackathon-pln-es/neutral-es
       name: neutral-es
+      type: hackathon-pln-es/neutral-es
     metrics:
-      - type: sacrebleu
-        value: 0.96  
-        name: sacrebleu    # Optional. Example: Test WER
-      - type: bertscore    # Required. Example: wer
-        value: 0.98
-        name: BertScoreF1    # Optional. Example: Test WER
-      - type: DiffBleu    # Required. Example: wer
-        value: 0.35
-        name: DiffBleu    # Optional. Example: Test WER
+    - type: sacrebleu
+      value: 0.96
+      name: sacrebleu
+    - type: bertscore
+      value: 0.98
+      name: BertScoreF1
+    - type: DiffBleu
+      value: 0.35
+      name: DiffBleu
 ---
 
 ## Model objective