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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 [`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!

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  1. README.md +8 -7
README.md CHANGED
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  ---
 
 
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  license: mit
 
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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  - name: danbooruTagAutocomplete
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  results: []
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- co2_eq_emissions: 100
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- language:
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- - en
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- library_name: transformers
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- pipeline_tag: text-generation
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- datasets:
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- - 0Tick/Danbooru-Random-Posts-Scrape
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  ---
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  ## Model description
 
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  ---
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+ language:
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+ - en
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  license: mit
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+ library_name: transformers
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - 0Tick/Danbooru-Random-Posts-Scrape
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  metrics:
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  - accuracy
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+ co2_eq_emissions: 100
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+ pipeline_tag: text-generation
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+ base_model: distilgpt2
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  model-index:
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  - name: danbooruTagAutocomplete
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  results: []
 
 
 
 
 
 
 
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  ---
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  ## Model description