metadata

library_name: transformers
tags: []

Model Card for Model ID

tags: - text-classification - sst2 - sentiment-analysis

Model Description

This is a fine-tuned version of the google/gemma-2b-it model on the SST-2 dataset for sentiment classification. It predicts whether a sentence expresses positive or negative sentiment.

Example

from transformers import pipeline

classifier = pipeline("text-classification", model="ishanarang/gemma-sst2-small-finetuned")
print(classifier("I love this movie!"))