> ## Documentation Index > Fetch the complete documentation index at: https://docs.zerogpu.ai/llms.txt > Use this file to discover all available pages before exploring further. # Text Classification > Edge models that map text to labels, IAB taxonomy, and audience signals. Text classification models map a passage to predefined labels or categories. ZeroGPU offers IAB taxonomy classifiers tuned for ad tech plus a general zero-shot classifier where you supply the candidate labels. Each request is shown for both the [Responses API](/api-reference/responses) and the OpenAI-compatible [Chat Completions API](/api-reference/chat-completions). | Model | Input /1M | Output /1M | Params | Max tokens | | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------: | ---------: | ------ | ---------: | | zlm-v1-iab-classify-edge zlm-v1-iab-classify-edge | \$0.02 | \$0.05 | 90M | 400 | | zlm-v2-iab-classify-edge-enriched zlm-v2-iab-classify-edge-enriched | \$0.02 | \$0.05 | 90M | 400 | | zlm-v1-iab-domain-classifier zlm-v1-iab-domain-classifier | \$0.02 | \$0.05 | 149M | 100 | | deberta-v3-small deberta-v3-small | \$0.02 | \$0.05 | 142M | 400 | ## zlm-v1-iab-classify-edge > ZeroGPU's IAB classifier maps any text to the industry-standard IAB Content Taxonomy in a single, fast inference call. Each call returns categories across both the 1.0 and 2.2 taxonomies plus matched audience segments, every result scored for confidence. With support for 50+ languages, it classifies multilingual content without a translation step. At 90M parameters on ONNX, it's built for the high-volume, sub-millisecond classification that ad tech and content platforms demand, right at the edge. When you need clean category and audience signals on every request, this is the model — and when you need the full profile, reach for the enriched variant. **References:** [Model docs](https://docs.zerogpu.ai/) • [Terms](https://zerogpu.ai/terms) • [Privacy](https://zerogpu.ai/privacy-policy) ```bash Responses API theme={null} curl https://api.zerogpu.ai/v1/responses \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "input": "Technology has quietly reshaped the rhythm of everyday life, weaving itself into routines so seamlessly that it often goes unnoticed. From the moment a smartphone alarm wakes someone in the morning to the final glance at a glowing screen before sleep, digital systems guide communication, navigation, work, and entertainment. This transformation did not happen overnight. It emerged through decades of incremental innovation, each new tool building upon the last, until the modern world became deeply interconnected.One of the most significant changes has been the speed at which information travels.", "model": "zlm-v1-iab-classify-edge" }' ``` ```bash Chat Completions theme={null} curl https://api.zerogpu.ai/v1/chat/completions \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "model": "zlm-v1-iab-classify-edge", "messages": [ { "role": "user", "content": "What are the basics of exercise and physical fitness?Exercise is anything that gets your body moving. Regular exercise is one of the best things you can do for your health. It has many benefits, including improving your overall health and fitness, and reducing your risk for many chronic (long-term) diseases.Every physical fitness routine is built on a few simple ideas. These include:Make exercise a habit, as your body adapts to the type of activity you do most often. Regular practice will help you improve.Build up your activity level slowly to help you continue to get stronger, faster, or more flexible without pushing too hard all at once.Challenge yourself by lifting slightly heavier weights, adding a few more minutes to your walk, or increasing your pace." } ] }' ``` Returns IAB `audience` categories plus `content` matches across taxonomy versions, each with a confidence score. ```json Response theme={null} { "audience": [ { "name": "Technology & Computing", "score": 0.7686 }, { "name": "Consumer Electronics", "score": 0.7206 }, { "name": "65-69", "score": 0.5950 } ], "content": { "iab_1_0": [ { "name": "Cell Phones", "score": 0.7597 }, { "name": "Technology & Computing", "score": 0.7387 } ], "iab_2_2": [ { "name": "Smartphones", "score": 0.7597 }, { "name": "Wearable Technology", "score": 0.7387 }, { "name": "Technology & Computing", "score": 0.7109 } ] } } ``` ## zlm-v2-iab-classify-edge-enriched > The enriched variant of ZeroGPU's IAB classifier turns a single inference call into a full content-intelligence profile not just a label, but everything a contextual pipeline needs to act on. Each call returns IAB categories across both the 1.0 and 2.2 taxonomies (down to tier-3), audience and interest segments, topics, keywords, and user-intent classification — all with confidence scores with edge-native, sub-millisecond speeds. With support for 50+ languages, it delivers the same full profile on multilingual content without a translation step. Built for contextual ad targeting, brand-safety scoring, publisher content categorization, and signal pipelines that need full metadata on every request. **References:** [Model docs](https://docs.zerogpu.ai/) • [Terms](https://zerogpu.ai/terms) • [Privacy](https://zerogpu.ai/privacy-policy) ```bash Responses API theme={null} curl https://api.zerogpu.ai/v1/responses \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "input": "Technology has quietly reshaped the rhythm of everyday life, weaving itself into routines so seamlessly that it often goes unnoticed. From the moment a smartphone alarm wakes someone in the morning to the final glance at a glowing screen before sleep, digital systems guide communication, navigation, work, and entertainment. This transformation did not happen overnight. It emerged through decades of incremental innovation, each new tool building upon the last, until the modern world became deeply interconnected.One of the most significant changes has been the speed at which information travels.", "model": "zlm-v2-iab-classify-edge-enriched" }' ``` ```bash Chat Completions theme={null} curl https://api.zerogpu.ai/v1/chat/completions \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "model": "zlm-v2-iab-classify-edge-enriched", "messages": [ { "role": "user", "content": "What are the basics of exercise and physical fitness?Exercise is anything that gets your body moving. Regular exercise is one of the best things you can do for your health. It has many benefits, including improving your overall health and fitness, and reducing your risk for many chronic (long-term) diseases.Every physical fitness routine is built on a few simple ideas. These include:Make exercise a habit, as your body adapts to the type of activity you do most often. Regular practice will help you improve.Build up your activity level slowly to help you continue to get stronger, faster, or more flexible without pushing too hard all at once.Challenge yourself by lifting slightly heavier weights, adding a few more minutes to your walk, or increasing your pace." } ] }' ``` In addition to scored `audience` and `content` categories, the enriched model returns taxonomy codes and parent IDs, plus `topics`, `keywords`, and an inferred `user_intent`. ```json Response theme={null} { "audience": [ { "id": 687, "parent_id": 206, "name": "Technology & Computing", "tier1_name": "Interest", "tier2_name": "Technology & Computing", "score": 0.7686 }, { "id": 703, "parent_id": 687, "name": "Consumer Electronics", "tier1_name": "Interest", "tier2_name": "Technology & Computing", "tier3_name": "Consumer Electronics", "score": 0.7206 } ], "content": { "iab_1_0": [ { "code": "IAB19-6", "name": "Cell Phones", "tier": 2, "parent_code": "IAB19", "score": 0.7597 }, { "code": "IAB19", "name": "Technology & Computing", "tier": 1, "parent_code": null, "score": 0.7387 } ] }, "topics": [ { "name": "smartphones", "score": 0.7597 }, { "name": "wearable technology", "score": 0.7387 }, { "name": "technology & computing", "score": 0.7109 } ], "keywords": ["technology", "reshaped", "everyday", "routines", "quietly", "weaving", "rhythm", "itself", "life", "into"], "user_intent": { "name": "mastering technology quietly reshaped rhythm everyday life", "category": "informational", "score": 0.5 } } ``` ## zlm-v1-iab-domain-classifier > ZeroGPU's Domain IAB Classifier maps a raw domain name straight to the IAB Content Taxonomy in a single, fast inference call, returning content categories, topics, keywords, and user-intent signals. Where the page-level IAB classifiers take the full body of an article as input, this model takes only the domain (for example `nytimes.com`), reducing payload size by up to 10x while still surfacing the contextual signals that bidstream enrichment, contextual targeting, and domain-level intelligence pipelines run on. At 149M parameters on ONNX, it's built for the high-volume, sub-millisecond classification that ad tech and content platforms demand, right at the edge. **References:** [Model docs](https://docs.zerogpu.ai/) • [Terms](https://zerogpu.ai/terms) • [Privacy](https://zerogpu.ai/privacy-policy) ```bash Responses API theme={null} curl https://api.zerogpu.ai/v1/responses \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "input": "nytimes.com", "model": "zlm-v1-iab-domain-classifier" }' ``` ```bash Chat Completions theme={null} curl https://api.zerogpu.ai/v1/chat/completions \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "model": "zlm-v1-iab-domain-classifier", "messages": [ { "role": "user", "content": "nytimes.com" } ] }' ``` Returns scored `content` categories across taxonomy versions plus `topics`, `keywords`, and an inferred `user_intent` for the domain. ```json Response theme={null} { "content": { "iab_1_0": [ { "name": "News", "score": 0.8124 }, { "name": "Politics", "score": 0.6533 } ], "iab_2_2": [ { "name": "News and Politics", "score": 0.8124 }, { "name": "Business and Finance", "score": 0.5980 } ] }, "topics": [ { "name": "news", "score": 0.8124 }, { "name": "journalism", "score": 0.6740 }, { "name": "current events", "score": 0.6533 } ], "keywords": ["news", "politics", "world", "business", "opinion", "media", "journalism"], "user_intent": { "name": "reading news and current events", "category": "informational", "score": 0.5 } } ``` ## deberta-v3-small > Microsoft's DeBERTa-v3-small is a fast, lightweight zero-shot text classifier for high-volume routing, filtering, and tagging. Hand it any text alongside your own candidate labels and it returns a confidence score for each. No training data and no fixed taxonomy, just the categories you define at request time. Because it scores every label rather than forcing one choice, you get soft probabilities to threshold, rank, or route on however your pipeline needs. Purpose-built and CPU-optimized, it runs faster and cheaper than asking a general-purpose frontier model to classify. **References:** [Model docs](https://github.com/microsoft/DeBERTa/tree/master/docs) • [Terms](https://github.com/microsoft/DeBERTa/blob/master/SECURITY.md) • [Privacy](https://github.com/microsoft/DeBERTa/blob/master/LICENSE) ```bash Responses API theme={null} curl https://api.zerogpu.ai/v1/responses \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "model": "deberta-v3-small", "input": "Apple is expected to unveil its next-generation M5 chip at WWDC this June, promising a 40% boost in GPU performance and a new dedicated AI core for on-device machine learning tasks.", "instructions": "[sports, finance, politics, technology]" }' ``` ```bash Chat Completions theme={null} curl https://api.zerogpu.ai/v1/chat/completions \ -H "content-type: application/json" \ -H "x-api-key: YOUR_API_KEY" \ -H "x-project-id: YOUR_PROJECT_ID" \ -d '{ "model": "deberta-v3-small", "messages": [ { "role": "system", "content": "[sports, finance, politics, technology]" }, { "role": "user", "content": "Apple is expected to unveil its next-generation M5 chip at WWDC this June, promising a 40% boost in GPU performance and a new dedicated AI core for on-device machine learning tasks." } ] }' ``` Returns each candidate label with a probability score. ```json Response theme={null} { "technology": 0.971784, "politics": 0.011858, "sports": 0.01175, "finance": 0.004608 } ```