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README.md
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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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for Spanish [BETO]
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and trained with a set of theses of the National Autonomous University of Mexico (UNAM)
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The model classifies a text into for five (Psicología, Derecho, Química Farmacéutico Biológica, Actuaría, Economía)
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possible careers at the UNAM.
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```python
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tokenizer = AutoTokenizer.from_pretrained('
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model = AutoModelForSequenceClassification.from_pretrained(
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'hackathon-pln-es/unam_tesis_BETO_finnetuning', num_labels=5, output_attentions=False,
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output_hidden_states=False)
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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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for Spanish [BETO](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased), using PyTorch framework,
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and trained with a set of theses of the National Autonomous University of Mexico [(UNAM)](https://tesiunam.dgb.unam.mx/F?func=find-b-0&local_base=TES01).
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The model classifies a text into for five (Psicología, Derecho, Química Farmacéutico Biológica, Actuaría, Economía)
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possible careers at the UNAM.
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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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model = AutoModelForSequenceClassification.from_pretrained(
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'hackathon-pln-es/unam_tesis_BETO_finnetuning', num_labels=5, output_attentions=False,
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output_hidden_states=False)
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