hasanmustafa0503/SentimentModel

🧠 Sentiment Analysis Model

This model performs binary sentiment classification (Positive/Negative) on user-provided text inputs. It is trained to assist in mental health-related sentiment detection.

🚀 Usage

You can try this model via the Hugging Face Inference API or integrate it in your application using the transformers library.

🧪 Example

Input:
"I feel really hopeful today!"

Output:
Positive