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---
library_name: transformers
tags: []
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
---
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
```python
from transformers import pipeline
classifier = pipeline("text-classification", model="ishanarang/gemma-sst2-small-finetuned")
print(classifier("I love this movie!"))
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