Librarian Bot: Add base_model information to model
Browse filesThis 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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---
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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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-
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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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person beta:
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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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---
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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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person beta:
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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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person beta:
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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
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