Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`distilgpt2`](https://huggingface.co/distilgpt2) 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

@@ -10,27 +10,28 @@ tags:
 - prompt engineering
 datasets:
 - pszemraj/text2image-multi-prompt
-model-index:
-- name: distilgpt2-multiprompt-v2-fp
-  results: []
 widget:
- - text: "morning sun over Jakarta"
-   example_title: "morning sun"
- - text: "WARNING: pip is"
-   example_title: "pip"
- - text: "sentient cheese"
-   example_title: "sentient cheese"
- - text: "cheeps are"
-   example_title: "cheeps"
- - text: "avocado armchair"
-   example_title: "creative prompt"
- - text: "Landscape of"
-   example_title: "landscape"
+- text: morning sun over Jakarta
+  example_title: morning sun
+- text: 'WARNING: pip is'
+  example_title: pip
+- text: sentient cheese
+  example_title: sentient cheese
+- text: cheeps are
+  example_title: cheeps
+- text: avocado armchair
+  example_title: creative prompt
+- text: Landscape of
+  example_title: landscape
 parameters:
   min_length: 16
   max_length: 96
   no_repeat_ngram_size: 1
-  do_sample: True
+  do_sample: true
+base_model: distilgpt2
+model-index:
+- name: distilgpt2-multiprompt-v2-fp
+  results: []
 ---
 
 # distilgpt2-multiprompt