Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`hustvl/yolos-small`](https://huggingface.co/hustvl/yolos-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). Your input is invaluable to us!

README.md

@@ -5,17 +5,17 @@ tags:
 - object-detection
 - license-plate-detection
 - vehicle-detection
-widget:
-- src: https://drive.google.com/uc?id=1j9VZQ4NDS4gsubFf3m2qQoTMWLk552bQ
-  example_title: "Skoda 1"
-- src: https://drive.google.com/uc?id=1p9wJIqRz3W50e2f_A0D8ftla8hoXz4T5
-  example_title: "Skoda 2"
 metrics:
 - average precision
 - recall
 - IOU
+widget:
+- src: https://drive.google.com/uc?id=1j9VZQ4NDS4gsubFf3m2qQoTMWLk552bQ
+  example_title: Skoda 1
+- src: https://drive.google.com/uc?id=1p9wJIqRz3W50e2f_A0D8ftla8hoXz4T5
+  example_title: Skoda 2
 pipeline_tag: object-detection
-
+base_model: hustvl/yolos-small
 ---
 # YOLOS (small-sized) model
 This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on the [licesne-plate-recognition](https://app.roboflow.com/objectdetection-jhgr1/license-plates-recognition/2) dataset from Roboflow which contains 5200 images in the training set and 380 in the validation set.