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!"))
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