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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 [`flax-community/gpt-2-spanish`](https://huggingface.co/flax-community/gpt-2-spanish) 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!

Files changed (1) hide show
  1. README.md +7 -6
README.md CHANGED
@@ -4,18 +4,19 @@ language:
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  tags:
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  - generated_from_trainer
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  - recipe-generation
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-
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  widget:
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- - text: "<RECIPE_START> <INPUT_START> salmón <NEXT_INPUT> zumo de naranja <NEXT_INPUT> aceite de oliva <NEXT_INPUT> sal <NEXT_INPUT> pimienta <INPUT_END> <INGR_START>"
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- - text: "<RECIPE_START> <INPUT_START> harina <NEXT_INPUT> azúcar <NEXT_INPUT> huevos <NEXT_INPUT> chocolate <NEXT_INPUT> levadura Royal <INPUT_END> <INGR_START>"
 
 
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  inference:
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  parameters:
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  top_k: 50
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- top_p: 0.92
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- do_sample: True
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  num_return_sequences: 3
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  max_new_tokens: 100
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-
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  ---
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  # Model description
 
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  tags:
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  - generated_from_trainer
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  - recipe-generation
 
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  widget:
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+ - text: <RECIPE_START> <INPUT_START> salmón <NEXT_INPUT> zumo de naranja <NEXT_INPUT>
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+ aceite de oliva <NEXT_INPUT> sal <NEXT_INPUT> pimienta <INPUT_END> <INGR_START>
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+ - text: <RECIPE_START> <INPUT_START> harina <NEXT_INPUT> azúcar <NEXT_INPUT> huevos
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+ <NEXT_INPUT> chocolate <NEXT_INPUT> levadura Royal <INPUT_END> <INGR_START>
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  inference:
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  parameters:
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  top_k: 50
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+ top_p: 0.92
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+ do_sample: true
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  num_return_sequences: 3
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  max_new_tokens: 100
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+ base_model: flax-community/gpt-2-spanish
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  ---
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  # Model description