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!"))

Downloads last month: 5

Safetensors

Model size

2.51B params

Tensor type

FP16

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.