Text Classification
Assign labels or categories to text inputs using transformer models
Text classification models take a text string as input and predict one or more labels. Common use cases include sentiment analysis, topic detection, intent classification, and spam filtering.
Available Models
- BERT Base – Bidirectional transformer for general-purpose text classification