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README.md
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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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- 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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# Unam_tesis_beto_finnetuning: Unam's thesis classification with BETO
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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
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```python
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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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# Unam_tesis_beto_finnetuning: Unam's thesis classification with BETO
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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 Hugging Face Transformers library, starting with the Quickstart section. The UNAM tesis model 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 model can be found next.
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```python
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