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). Your input is invaluable to us!

README.md

@@ -7,43 +7,99 @@ tags:
 - distilgpt2
 - gpt2
 - ai-msgbot
-
 widget:
-- text: "I know you're tired, but can we go for another walk this evening?\nperson beta:\n\n" 
-  example_title: "walk"
-- text: "Have you done anything exciting lately?\nperson beta:\n\n"
-  example_title: "activities"
-- text: "hey - do you have a favorite grocery store around here?\nperson beta:\n\n"
-  example_title: "grocery"
-- text: "Can you take me for dinner somewhere nice this time?\nperson beta:\n\n"
-  example_title: "dinner"
-- text: "What's your favorite form of social media?\nperson beta:\n\n"
-  example_title: "social media"
-- text: "Hi, how are you?\nperson beta:\n\n"
-  example_title: "greeting"
-- text: "I am the best; my sister is the worst. What am I?\nperson beta:\n\n" 
-  example_title: "sister"
-- text: "What do you call an alligator who's just had surgery to remove his left arm?\nperson beta:\n\n" 
-  example_title: "alligator"
-- text: "A man walks into a bar and asks for a drink. The bartender asks for $10, and he pays him $1. What did he pay him with?\nperson beta:\n\n" 
-  example_title: "dollar"
-- text: "What did I say was in the mailbox when it was actually in the cabinet?\nperson beta:\n\n" 
-  example_title: "mailbox"
-- text: "My friend says that she knows every language, but she doesn't speak any of them.. what's wrong with her?\nperson beta:\n\n" 
-  example_title: "language"
+- text: 'I know you''re tired, but can we go for another walk this evening?
+
+    person beta:
+
+
+    '
+  example_title: walk
+- text: 'Have you done anything exciting lately?
+
+    person beta:
+
+
+    '
+  example_title: activities
+- text: 'hey - do you have a favorite grocery store around here?
+
+    person beta:
+
+
+    '
+  example_title: grocery
+- text: 'Can you take me for dinner somewhere nice this time?
+
+    person beta:
+
+
+    '
+  example_title: dinner
+- text: 'What''s your favorite form of social media?
+
+    person beta:
+
+
+    '
+  example_title: social media
+- text: 'Hi, how are you?
+
+    person beta:
+
+
+    '
+  example_title: greeting
+- text: 'I am the best; my sister is the worst. What am I?
+
+    person beta:
+
+
+    '
+  example_title: sister
+- text: 'What do you call an alligator who''s just had surgery to remove his left
+    arm?
+
+    person beta:
+
+
+    '
+  example_title: alligator
+- text: 'A man walks into a bar and asks for a drink. The bartender asks for $10,
+    and he pays him $1. What did he pay him with?
+
+    person beta:
+
+
+    '
+  example_title: dollar
+- text: 'What did I say was in the mailbox when it was actually in the cabinet?
+
+    person beta:
+
+
+    '
+  example_title: mailbox
+- text: 'My friend says that she knows every language, but she doesn''t speak any
+    of them.. what''s wrong with her?
+
+    person beta:
+
 
+    '
+  example_title: language
 inference:
   parameters:
     min_length: 2
     max_length: 64
     length_penalty: 0.7
     no_repeat_ngram_size: 2
-    do_sample: True
+    do_sample: true
     top_p: 0.95
     top_k: 20
     temperature: 0.3
     repetition_penalty: 3.5
-    
+base_model: distilgpt2
 ---