Description

A Sentiment Analysis model trained on customer feedback data using DistilBert. Possible sentiments are:

negative
neutral
positive

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
  tokenizer = AutoTokenizer.from_pretrained("CouchCat/ma_sa_v7_distil")
  
  model = AutoModelForSequenceClassification.from_pretrained("CouchCat/ma_sa_v7_distil")

Downloads last month: 57

Inference Examples

Text Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.