---
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!"))