Next-generation open-source text classification model built for zero-shot and multi-label categorization with advanced generalization capabilities.
KEY FEATURES:
- Multi-label classification
- 100K token capacity
- Multilingual support
- Supports zero-shot and few-shot learning
- Provides logical reasoning for classification outputs
- 184K model size
Download a model to fine-tune and run it on your machine, or use it via our API
- Open-source model(Apache 2.0)
- API
Recent launches
Next-Generation Text Classification
Categorize, assign tags, or analyze the sentiment of any text, up to 150k tokens. Comprehend-it is a next-generation text classification model designed for zero-shot, multi-label categorization with output scoring.
Test in our AI Playground, no registration.
