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README.md

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+---
+language: es
+license: cc-by-nc-sa-4.0
+tags:
+  - text-classification
+  - sentiment-analysis
+  - sarcasm-detection
+  - xlm-roberta
+base_model: xlm-roberta-large
+pipeline_tag: text-classification
+---
+
+# Sarcasmo XLM-ROBERTA
+
+Fine-tuning de **xlm-roberta-large** sobre el dataset **Sarcasmo** (binario: sarcasmo / no_sarcasmo).
+Taller PLN - Maestría Ingeniería de Sistemas, Univalle.
+
+## Subfolders
+
+| Batch | F1 |
+|------:|---:|
+| bs8 | (ver model card) |
+| bs16 | (ver model card) |
+| bs32 | (ver model card) |
+
+## Uso
+
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+
+m = AutoModelForSequenceClassification.from_pretrained("cvalenciaunivalle/sarcasmo-xlm-roberta-large", subfolder="bs8")
+t = AutoTokenizer.from_pretrained("cvalenciaunivalle/sarcasmo-xlm-roberta-large", subfolder="bs8")
+pipe = pipeline("text-classification", model=m, tokenizer=t)
+pipe("¡Qué divertido, otro lunes de trabajo!")
+```
+
+## Compañeros
+
+- Laura Valero
+- Cristian Valencia