Electricidad-base fine-tuned for (Spanish) Sentiment Anlalysis 🎞️👍👎

Electricidad base fine-tuned on muchocine dataset for Spanish Sentiment Analysis downstream task.

Fast usage with pipelines 🚀

# pip install -q transformers

from transformers import AutoModelForSequenceClassification, AutoTokenizer

CHKPT = 'mrm8488/electricidad-base-finetuned-muchocine'
model = AutoModelForSequenceClassification.from_pretrained(CHKPT)
tokenizer = AutoTokenizer.from_pretrained(CHKPT)

from transformers import pipeline
classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)

# It ranks your comments between 1 and 5 (stars)

classifier('Es una obra mestra. Brillante.')
# [{'label': '5', 'score': 0.9498381614685059}]

classifier('Es una película muy buena.')
# {'label': '4', 'score': 0.9277070760726929}]

classifier('Una buena película, sin más.')
# [{'label': '3', 'score': 0.9768431782722473}]

classifier('Esperaba mucho más.')
# [{'label': '2', 'score': 0.7063605189323425}]

classifier('He tirado el dinero. Una basura. Vergonzoso.')
# [{'label': '1', 'score': 0.8494752049446106}]
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