GLiNER2-PII: PII Detection SLM

GLiNER2-PII is our open-source small language model for detecting and redacting personally identifiable information (PII). At 300 million parameters, it identifies 42 fine-grained PII entity types across 7 languages in a single forward pass.

Inference GLiNER2-PII in Pioneer

POST /v1/chat/completions Runs GLiNER2-PII over the supplied messages and returns the entities defined in schema. Pioneer exposes an OpenAI-compatible endpoint at https://api.pioneer.ai/v1, so you call GLiNER2-PII through the standard chat completions route using the model ID fastino/gliner2-privacy-filter-PII-multi. Request body

string

required

The GLiNER2-PII model ID: fastino/gliner2-privacy-filter-PII-multi.

object[]

required

The text to scan for PII, in standard OpenAI chat format.

object

required

The extraction schema. Contains an entities array listing the PII types to detect. Pass any subset of the 42 supported types (see the label table below). The example detects person, email, and phone_number.

boolean

Return a confidence score for each detected entity. Set to true in the example.

boolean

Return the character spans for each detected entity. Set to true in the example.

Example: PII detection

This request detects three entity types person, email, and phone_number in a single user message.

curl -X POST "https://api.pioneer.ai/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <YOUR_PIONEER_API_KEY>" \
  -d '{
  "model": "fastino/gliner2-privacy-filter-PII-multi",
  "messages": [
    {
      "role": "user",
      "content": "Hi, my name is John Smith. You can reach me at john.smith@acme.com or +1-555-0192."
    }
  ],
  "schema": {
    "entities": [
      "person",
      "email",
      "phone_number"
    ]
  },
  "include_confidence": true,
  "include_spans": true
}'

What GLiNER2-PII detects

GLiNER2-PII recognizes 42 fine-grained PII entity types, organized into seven groups.

Group	Entity types
Person / names	`person`, `full_name`, `first_name`, `middle_name`, `last_name`, `date_of_birth`
Contact / address	`email`, `phone_number`, `address`, `street_address`, `city`, `state_or_region`, `postal_code`, `country`
Government / tax IDs	`government_id`, `national_id_number`, `passport_number`, `drivers_license_number`, `license_number`, `tax_id`, `tax_number`
Banking / payment	`bank_account`, `account_number`, `routing_number`, `iban`, `payment_card`, `card_number`, `card_expiry`, `card_cvv`
Digital identity	`username`, `ip_address`, `account_id`, `sensitive_account_id`
Secrets / credentials	`password`, `secret`, `api_key`, `access_token`, `recovery_code`
Sensitive dates	`sensitive_date`, `document_date`, `expiration_date`, `transaction_date`

Supported languages: English, French, Spanish, German, Italian, Portuguese, and Dutch.

Get Started

Integrations

Core Concepts

API Reference

Guides

Account

Changelog

GLiNER2-PII: PII Detection SLM

Inference GLiNER2-PII in Pioneer

Example: PII detection

What GLiNER2-PII detects

​Inference GLiNER2-PII in Pioneer

​Example: PII detection

​What GLiNER2-PII detects

Inference GLiNER2-PII in Pioneer

Example: PII detection

What GLiNER2-PII detects