Instructions to use UMUTeam/roberta-spanish-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UMUTeam/roberta-spanish-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UMUTeam/roberta-spanish-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UMUTeam/roberta-spanish-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("UMUTeam/roberta-spanish-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
Model Card for UMUTeam/roberta-spanish-sentiment-analysis
Este es un modelo de MarIA (RoBERTa) con fine-tuning con optimizaci贸n de hiper-par谩metros para la clasificaci贸n de sentimientos en tres niveles: negativo, neutral y positivo.
El modelo ha sido entrenado juntando diversos datasets como TASS y otros datasets de an谩lisis de sentimientos relacionados con pol铆tica y otros dominios.
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Model tree for UMUTeam/roberta-spanish-sentiment-analysis
Base model
PlanTL-GOB-ES/roberta-base-bne