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Merge branch 'main' of https://huggingface.co/hackathon-pln-es/unam_tesis_BETO_finnetuning into main

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  1. README.md +16 -17
README.md CHANGED
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  ---
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  annotations_creators:
 
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  - MajorIsaiah
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  - Ximyer
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  - clavel
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- - inoid
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- language_creators: [found]
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- languages: [es]
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- multilinguality: [monolingual]
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- pretty_name: ''
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- size_categories:
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- - n=200
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- source_datasets: [unam_tesis]
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- task_categories: [text-classification]
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- task_ids: [language-modeling ]
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- license: apache-2.0
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  ---
 
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  # Unam_tesis_beto_finnetuning: Unam's thesis classification with BETO
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  This model is created from the finetuning of the pre-model
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  ## Training Dataset
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- 1000 documents (Thesis introduction, Author´s first name, Author´s last name, Thesis title, Year, Career )
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  | Careers | Size |
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  |--------------|----------------------|
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  | Psicología| 200 |
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  | Química Farmacéutico Biológica| 200 |
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-
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  ## Example of use
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- For further details on how to use unam_tesis_beto_finnetuning you can visit the Huggingface Transformers library, starting with the Quickstart section. Unam_tesis models can be accessed simply as 'hackathon-pln-e/unam_tesis_beto_finnetuning' by using the Transformers library. An example of how to download and use the models on this page can be found in this colab notebook.
 
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  ```python
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  tokenizer = AutoTokenizer.from_pretrained('hiiamsid/BETO_es_binary_classification', use_fast=False)
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  To cite this resource in a publication please use the following:
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-
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  ## Citation
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- [UNAM's Tesis with BETO finetuning classify ](https://huggingface.co/hackathon-pln-es/unam_tesis_BETO_finnetuning)
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  To cite this resource in a publication please use the following:
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  }
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  ```
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-
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  ## Team members
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  - Isaac Isaías López López ([MajorIsaiah](https://huggingface.co/MajorIsaiah))
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  - Dionis López Ramos ([inoid](https://huggingface.co/inoid))
 
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  ---
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  annotations_creators:
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+ - inoid
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  - MajorIsaiah
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  - Ximyer
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  - clavel
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+ tags:
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+ - "transformers"
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+ - "text-classification"
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+ languages: "es"
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+ license: "apache-2.0"
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+ datasets: "unam_tesis"
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+ metrics: "accuracy"
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+ widget:
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+ - text: "Introducción al análisis de riesgos competitivos bajo el enfoque de la función de incidencia acumulada (FIA) y su aplicación con R"
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+ - text: "Asociación del polimorfismo rs1256031 del receptor beta de estrógenos en pacientes con diabetes tipo 2"
 
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  ---
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+
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  # Unam_tesis_beto_finnetuning: Unam's thesis classification with BETO
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  This model is created from the finetuning of the pre-model
 
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  ## Training Dataset
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+ 1000 documents (Thesis introduction, Author´s first name, Author´s last name, Thesis title, Year, Career)
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  | Careers | Size |
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  |--------------|----------------------|
 
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  | Psicología| 200 |
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  | Química Farmacéutico Biológica| 200 |
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  ## Example of use
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+ For further details on how to use unam_tesis_BETO_finnetuning you can visit the Huggingface Transformers library, starting with the Quickstart section. Unam_tesis models can be accessed simply as 'hackathon-pln-e/unam_tesis_BETO_finnetuning' by using the Transformers library. An example of how to download and use the models on this page can be found in this colab notebook.
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+
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  ```python
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  tokenizer = AutoTokenizer.from_pretrained('hiiamsid/BETO_es_binary_classification', use_fast=False)
 
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  To cite this resource in a publication please use the following:
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  ## Citation
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+ [UNAM's Tesis with BETO finetuning classify] (https://huggingface.co/hackathon-pln-es/unam_tesis_BETO_finnetuning)
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  To cite this resource in a publication please use the following:
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  }
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  ```
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  ## Team members
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  - Isaac Isaías López López ([MajorIsaiah](https://huggingface.co/MajorIsaiah))
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  - Dionis López Ramos ([inoid](https://huggingface.co/inoid))