sentiment-classifier-demo

Sentiment Classifier Demo

This is a sentiment classification model based on distilbert-base-uncased-finetuned-sst-2-english.

🧠 Model Details

• Base Model: distilBERT
• Task: Sentiment Analysis (Positive / Negative)
• Dataset: SST-2 (Stanford Sentiment Treebank)
• Fine-tuned: This model simulates a fine-tuned version saved and uploaded locally.

🔍 Usage

You can use this model directly via the Hugging Face Inference API or transformers:

from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="your-username/sentiment-classifier-demo")
result = classifier("This movie was amazing!")
print(result)