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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 [`t5-3b`](https://huggingface.co/t5-3b) 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 +1 -0
README.md CHANGED
@@ -3,6 +3,7 @@ language: en
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  license: cc-by-4.0
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  library_name: transformers
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  datasets: ColumbiaNLP/FLUTE
 
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  ---
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  # Model description
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  This is the T5-3B model for System 3 DREAM-FLUTE (motivation), as described in our paper Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE, FigLang workshop @ EMNLP 2022 (Arxiv link: https://arxiv.org/abs/2210.16407)
 
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  license: cc-by-4.0
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  library_name: transformers
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  datasets: ColumbiaNLP/FLUTE
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+ base_model: t5-3b
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  ---
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  # Model description
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  This is the T5-3B model for System 3 DREAM-FLUTE (motivation), as described in our paper Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE, FigLang workshop @ EMNLP 2022 (Arxiv link: https://arxiv.org/abs/2210.16407)