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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 [`google/flan-t5-base`](https://huggingface.co/google/flan-t5-base) 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 +7 -7
README.md CHANGED
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  ---
 
 
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  license: cc-by-nc-4.0
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  tags:
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  - generated_from_trainer
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  - instruction fine-tuning
 
 
 
 
 
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  model-index:
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  - name: flan-t5-small-distil-v2
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  results: []
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- language:
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- - en
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- pipeline_tag: text2text-generation
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- widget:
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- - text: >-
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- how can I become more healthy?
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- example_title: example
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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: cc-by-nc-4.0
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  tags:
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  - generated_from_trainer
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  - instruction fine-tuning
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+ pipeline_tag: text2text-generation
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+ widget:
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+ - text: how can I become more healthy?
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+ example_title: example
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+ base_model: google/flan-t5-base
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  model-index:
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  - name: flan-t5-small-distil-v2
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  results: []
 
 
 
 
 
 
 
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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