Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`GPT-2`](https://huggingface.co/GPT-2) 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

@@ -1,24 +1,24 @@
 ---
+language:
+- en
 license: mit
 tags:
 - generated_from_trainer
 - gpt2
 - generation
-model-index:
-- name: resumes_model
-  results: []
 datasets:
 - mpuig/job-experience
 widget:
-- text: As a Software Developer, I 
+- text: As a Software Developer, I
   example_title: Software Developer
-- text: As a Software Architect, I 
+- text: As a Software Architect, I
   example_title: Software Architect
-- text: As a web developer, I 
+- text: As a web developer, I
   example_title: Web Developer
-
-language:
-- en
+base_model: GPT-2
+model-index:
+- name: resumes_model
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You