zlm-v2-iab-classify-edge-enriched

zlm-v2-iab-classify-edge-enriched is a multilingual content classification model built for contextual intelligence, advertising, and agent workflows. It analyzes text across 50+ languages and returns IAB content categories across the 1.0 and 2.2 taxonomies, along with topics, keywords, audience and interest segments, user intent, and confidence scores. It is optimized for low-latency edge inference and helps ad systems, agents, publishers, and recommendation platforms power contextual targeting, content categorization, brand-safety workflows, and real-time signal enrichment.