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POST
/
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": "Hello Jane Doe, this is John Doe reaching out regarding my recent order. If you need any additional details, feel free to call me at 415-555-0134 during business hours. You can also email me at [email protected], and I’ll respond as soon as possible. Looking forward to your update on the issue.",
  "model": "gliner-multi-pii-v1"
}
'
{}

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.

GLiNER Multi PII v1 is a multilingual PII detection and redaction model based on the GLiNER architecture. It identifies 40+ personally identifiable information entity types: identity, contact, government IDs, financial, medical, organization, demographic, travel, network, and vehicle: across six European languages (English, French, German, Spanish, Italian, Portuguese). Built for zero-shot label prompting, it accepts custom label sets at inference time and supports curated PII catalogues, redaction with label or character masks, and generic NER with user-supplied labels. Runs efficiently on CPU for privacy-preserving PII workflows.
References: Model docs • Terms • Privacy

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Specifications

PropertyValue
Model IDgliner-multi-pii-v1
TaskPII
Typegliner
Parameters300M
Version1
Max Tokens512
Input Price$0.20 / 1M
Output Price$0.40 / 1M
Total Price$0.60 / 1M

​
Try it

Send a live request with your x-api-key and x-project-id. Model is fixed to gliner-multi-pii-v1. 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.