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POST
/
responses
zlm-v1-iab-classify-edge-enriched: Responses
curl --request POST \
  --url https://api.zerogpu.ai/v1/responses \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --header 'x-project-id: <api-key>' \
  --data '
{
  "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-enriched"
}
'
{}

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.

The enriched variant of ZeroGPU’s IAB classifier goes beyond standard taxonomy labels by producing multi-signal outputs giving you richer, more actionable classification data per inference call. This means you get not just a category, but layered context signals that downstream systems can use for better targeting, filtering, and personalization decisions. Same 90M-parameter ONNX architecture as the base classifier, so it runs at the same edge-native speeds. When a single label isn’t enough and your pipeline needs deeper content intelligence, this is the model.
References: Model docsTermsPrivacy

Specifications

PropertyValue
Model IDzlm-v1-iab-classify-edge-enriched
TaskText Classification
Typeiab-classify
Parameters90M
Version1
Max Tokens400
ProviderZeroGPU
Input Price$0.05 / 1M
Output Price$0.40 / 1M
Total Price$0.45 / 1M

Try it

Send a live request with your x-api-key and x-project-id. Model is fixed to zlm-v1-iab-classify-edge-enriched. Use request examples below to switch use cases (JSON extraction, NER, PII, and so on).

Authorizations

x-api-key
string
header
required
x-project-id
string
header
required

Body

application/json
input
string<textarea>
required

Multi-line text or document content to send to the model.

Required string length: 1 - 131072
instructions
string
metadata
object

Response

Success

The response is of type object.