|
|
--- |
|
|
language: en |
|
|
license: apache-2.0 |
|
|
pipeline_tag: text-classification |
|
|
tags: |
|
|
- sentiment-analysis |
|
|
- roberta |
|
|
- text-classification |
|
|
- huggingface |
|
|
- transformers |
|
|
- PyTorch |
|
|
--- |
|
|
|
|
|
|
|
|
# 🧠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` |
|
|
|
