WarmthCompetence/WarmthCompetencePaper

Model Card for Warmth and Competence Classification

Model Description

This is the WarmthCompetence BERT language model, a language model trained to classify into warmth and competence.

The model used semi-supervised learning to fine-tune the BERT model on Kickstarter, consisting of 5,000 manually annotated labels and 52,391 trusted pseudo-labels, to detect warmth, competence and others in text.

How to Get Started With the Model

You can use this model with Transformers pipeline for warmth/competence classification:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="WarmthCompetence/WarmthCompetencePaper")

pipe("Our team engineered every part with advanced technology and creative design to deliver a product that exceeds expectations.")
pipe("We are really apprieate your support!")