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Librarian Bot: Add base_model information to model

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This pull request aims to enrich the metadata of your model by adding [`gpt2-medium`](https://huggingface.co/gpt2-medium) 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)!

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  1. README.md +15 -11
README.md CHANGED
@@ -1,31 +1,34 @@
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  ---
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  language:
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  - en
 
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  tags:
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  - text-generation
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  - gpt2
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  - gpt
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- license: mit
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  widget:
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- - text: |+
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- Do you like my new haircut?
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  person beta:
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  example_title: haircut
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- - text: |+
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- I love to learn new things.. are you willing to teach me something?
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- person beta:
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- example_title: teaching
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- - text: |+
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- What's your favorite animal? Mine is the dog?
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  person beta:
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  example_title: favorite
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- - text: |+
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- how much does it cost?
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  person beta:
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  example_title: money
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  inference:
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  parameters:
@@ -38,6 +41,7 @@ inference:
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  top_k: 10
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  repetition_penalty: 2.1
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  pipeline_tag: text-generation
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  ---
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  language:
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  - en
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+ license: mit
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  tags:
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  - text-generation
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  - gpt2
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  - gpt
 
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  widget:
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+ - text: 'Do you like my new haircut?
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+
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  person beta:
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+
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+ '
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  example_title: haircut
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+ - text: 'I love to learn new things.. are you willing to teach me something?
 
 
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  person beta:
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+
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+ '
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+ example_title: teaching
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+ - text: "What's your favorite animal? Mine is the dog? \nperson beta:\n\n"
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  example_title: favorite
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+ - text: 'how much does it cost?
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+
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  person beta:
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+
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+ '
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  example_title: money
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  inference:
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  parameters:
 
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  top_k: 10
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  repetition_penalty: 2.1
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  pipeline_tag: text-generation
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+ base_model: gpt2-medium
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You