This model is a fine-tuned version of google-bert/bert-base-uncased, trained on the IMDB movie reviews dataset for binary sentiment classification.

It predicts whether text expresses negative or positive sentiment.

This model is hosted by @ManavDhayeCoder.

🚀 Model Overview

Property	Value
Base model	google-bert/bert-base-uncased
Task	Sentiment Analysis (Sequence Classification)
Labels	negative / positive
Dataset	IMDB
Library	Hugging Face Transformers
Format	model.safetensors

The model has two classes:

LABEL_0 → negative
LABEL_1 → positive

🔥 Quick Usage Example

python

from transformers import pipeline

clf = pipeline("text-classification", model="ManavDhayeCoder/sentiment-bert")

print(clf("This movie was amazing!"))