Edit model card

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
42
Inference Examples
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.