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")
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Text Classification
This model can be loaded on the Inference API on-demand.