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POST
/
responses
deberta-v3-small: 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": "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.",
  "model": "deberta-v3-small"
}
'
{
  "technology": 0.971784,
  "politics": 0.011858,
  "sports": 0.01175,
  "finance": 0.004608
}

Authorizations

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

Body

application/json
model
string
default:deberta-v3-small
required

Model identifier (fixed for this playground). Use request examples to change use cases.

Allowed value: "deberta-v3-small"
Example:

"deberta-v3-small"

input
string<textarea>
required

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

Required string length: 1 - 131072
instructions
string

Candidate categories for zero-shot classification, passed as a comma-separated array (e.g. [sports, finance, politics]). A maximum of 10 categories is supported; response time increases with the number of categories provided.

Example:

"[sports, finance, politics]"

Response

Success

The response is of type object.