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--- |
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language: es |
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tags: |
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- zero-shot-classification |
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- nli |
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- pytorch |
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datasets: |
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- xnli |
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license: mit |
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pipeline_tag: zero-shot-classification |
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widget: |
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- text: "El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo" |
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candidate_labels: "cultura, sociedad, economia, salud, deportes" |
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--- |
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# bert-base-spanish-wwm-cased-xnli |
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**UPDATE, 15.10.2021: Check out our new zero-shot classifiers, much more lightweight and even outperforming this one: [zero-shot SELECTRA small](https://huggingface.co/Recognai/zeroshot_selectra_small) and [zero-shot SELECTRA medium](https://huggingface.co/Recognai/zeroshot_selectra_medium).** |
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## Model description |
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This model is a fine-tuned version of the [spanish BERT model](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) with the Spanish portion of the XNLI dataset. You can have a look at the [training script](https://huggingface.co/Recognai/bert-base-spanish-wwm-cased-xnli/blob/main/zeroshot_training_script.py) for details of the training. |
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### How to use |
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You can use this model with Hugging Face's [zero-shot-classification pipeline](https://discuss.huggingface.co/t/new-pipeline-for-zero-shot-text-classification/681): |
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```python |
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from transformers import pipeline |
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classifier = pipeline("zero-shot-classification", |
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model="Recognai/bert-base-spanish-wwm-cased-xnli") |
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classifier( |
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"El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo", |
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candidate_labels=["cultura", "sociedad", "economia", "salud", "deportes"], |
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hypothesis_template="Este ejemplo es {}." |
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) |
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"""output |
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{'sequence': 'El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo', |
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'labels': ['cultura', 'sociedad', 'economia', 'salud', 'deportes'], |
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'scores': [0.38897448778152466, |
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0.22997373342514038, |
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0.1658431738615036, |
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0.1205764189362526, |
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0.09463217109441757]} |
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""" |
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``` |
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## Eval results |
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Accuracy for the test set: |
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| | XNLI-es | |
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|-----------------------------|---------| |
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|bert-base-spanish-wwm-cased-xnli | 79.9% | |
