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README.md

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+---
+language: es
+tags:
+- zero-shot-classification
+- nli
+- pytorch
+datasets:
+- xnli
+license: mit
+pipeline_tag: zero-shot-classification
+widget:
+- text: "El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo"
+  candidate_labels: "cultura, sociedad, economia, salud, deportes"
+---
+
+# bert-base-spanish-wwm-cased-xnli
+
+## Model description
+
+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.
+
+### How to use
+
+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):
+```python
+from transformers import pipeline
+classifier = pipeline("zero-shot-classification", 
+                       model="Recognai/bert-base-spanish-wwm-cased-xnli")
+
+classifier(
+    "El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo",
+    candidate_labels=["cultura", "sociedad", "economia", "salud", "deportes"]
+)
+"""output
+{'sequence': 'El autor se perfila, a los 50 años de su muerte, como uno de los grandes de su siglo',
+ 'labels': ['cultura', 'sociedad', 'economia', 'salud', 'deportes'],
+ 'scores': [0.38897448778152466,
+  0.22997373342514038,
+  0.1658431738615036,
+  0.1205764189362526,
+  0.09463217109441757]}
+"""
+```
+## Eval results
+
+
+Accuracy for the test set:
+
+|                             | XNLI-es |
+|-----------------------------|---------|
+|bert-base-spanish-wwm-cased-xnli | 79.9% |