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update readme (#1)
Browse files- update readme (83fc50212b4fbb68cd1253e159d8f3b3152de66d)
Co-authored-by: Andrea Morales Garzón <andreamorgar@users.noreply.huggingface.co>
README.md
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# Uploaded model
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This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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More info in https://huggingface.co/datasets/somosnlp/RecetasDeLaAbuela
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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# Uploaded model
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<!-- Resumen del modelo. -->
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- **Developed by:** rovi27, sbenel, GaboTuco, iXrst, andreamorgar
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- **Funded by:** SomosNLP, HuggingFace
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- **Model type:** Language model, instruction tuned
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- **Language(s):** `es-CL`, `es-ES`, `es-MX`, `es-PE`
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- **License:** apache-2.0
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- **Fine-tuned from model:** https://huggingface.co/unsloth/gemma-2b-bnb-4bit
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- **Dataset used:** [More Information Needed] <!-- Enlace al dataset utilizado para el ajuste -->
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### Model Sources
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- **Repository:** https://github.com/recetasdelaabuela/somosnlp
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- **Paper:** Comming soon!
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- **Demo:** https://huggingface.co/spaces/somosnlp/ComeBien_Demo
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- **Video presentation:** https://www.youtube.com/watch?v=WK-1F1TX5d4&list=PLTA-KAy8nxaASMwEUWkkTfMaDxWBxn-8J&index=19
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This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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More info in https://huggingface.co/datasets/somosnlp/RecetasDeLaAbuela
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## Uses
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This models aims to provide a tool to improve healthy cooking habits.
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### Direct Use
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Enhance recipes from Spanish-speaking countries with their nutritional values to help improve our relationship with food.
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The ultimate goal is to construct a Spanish-language specific intelligent nutrition assistant."
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### Out-of-Scope Use
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This model will not work well for nutrititional needs from under-represented areas, as well as recipes in other languages rather than Spanish.
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[More Information Needed]
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## Bias, Risks, and Limitations
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This model has been trained using the data provided in the training dataset without the supervision of nutrition experts.
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Please use it wisely and always consider the recommendations and guidelines from international health foundations.
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The model has been trained with recipes in Spanish from different areas of the world.
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Therefore, there can be biases regarding overrepresented areas, and some geographical areas may not be under-representation.
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We encourage the open-source community to collaborate in improving the dataset to cover as many geographic areas as possible!
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### Recommendations
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Users should be made aware of the risks, biases and limitations of the model.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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