Text Classification
Transformers
PyTorch
Spanish
roberta
español
text classification
WikiCAT_esv2
Eval Results (legacy)
Instructions to use PlanTL-GOB-ES/roberta-base-es-wikicat-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PlanTL-GOB-ES/roberta-base-es-wikicat-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PlanTL-GOB-ES/roberta-base-es-wikicat-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PlanTL-GOB-ES/roberta-base-es-wikicat-es") model = AutoModelForSequenceClassification.from_pretrained("PlanTL-GOB-ES/roberta-base-es-wikicat-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- text: "Sedna es el cuerpo menor del sistema solar número 90377; concretamente es un objeto transneptuniano."
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- text: "El Fútbol Club Barcelona, conocido popularmente como Barça, es una entidad polideportiva con sede en Barcelona, España."
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