How to use UMUTeam/beto-base-emotion-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UMUTeam/beto-base-emotion-analysis")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UMUTeam/beto-base-emotion-analysis") model = AutoModelForSequenceClassification.from_pretrained("UMUTeam/beto-base-emotion-analysis")
Este es un modelo de BETO (BERT) con fine-tuning con optimización de hiper-parámetros para la clasificación de emociones usando el modelo de Eckman y usando distintos datasets como el de EmoEvent (Spanish) o EmoEvalES.
Base model
