---
language: en
tags:
- zero-shot-classification
- wikidata
- knowledge-graph
license: mit
datasets:
- wikidata
- wikipedia
---

# Zero-Shot Wikidata Classifier

This model performs **zero-shot text classification** by dynamically integrating knowledge from Wikidata. It classifies text into custom categories without requiring training data.

## How It Works
1. **Input**: Receives any text input
2. **Knowledge Expansion**: Queries Wikidata for related concepts
3. **Classification**: Uses Wikipedia-trained BART model to match text to concepts
4. **Output**: Returns ranked categories with confidence scores

## Capabilities
- 🧠 **Dynamic Classification**: Adapts to new categories via Wikidata
- ⚡ **Zero-Shot Learning**: No training required
- 🔍 **Knowledge Integration**: Leverages Wikipedia's semantic relationships
- 🌐 **Multilingual Support**: Works with 100+ languages (see multilingual section)

## Usage
```python
from transformers import pipeline
from wikidata import get_wikidata_labels

classifier = pipeline("zero-shot-classification", 
                      model="your-username/zero-shot-wikidata-classifier")

# Classify with Wikidata expansion
labels = get_wikidata_labels("renewable energy")
result = classifier("Perovskite solar cells achieve 30% efficiency", 
                   candidate_labels=labels)