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gemma-sst2-small-finetuned
ishanarang/gemma-sst2-small-finetuned
gemma-sst2-small-finetuned is a text classification model from ishanarang. Use it when you need a label for a piece of text. It is set up for transformers.
--- tags: - text-classification - sst2 - sentiment-analysis ---
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gemma
- Access
- Public
- Created
- Nov 16, 2024
- Updated
- Nov 18, 2024
- SHA
- d90c9902
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Model card
From the Hugging Face model README
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
from transformers import pipeline
classifier = pipeline("text-classification", model="ishanarang/gemma-sst2-small-finetuned")
print(classifier("I love this movie!"))
- Task
- Text Classification
- Library
- transformers
- Type
- gemma
- Created
- Nov 16, 2024
- Updated
- Nov 18, 2024