GLiNER PII base v1.0 — ONNX

FP32 ONNX mirror of knowledgator/gliner-pii-base-v1.0, a GLiNER model specialized for zero-shot detection of personally identifiable information.

Mirrored for use with inference4j, an inference-only AI library for Java.

Original Source

• Repository: Knowledgator and Urchade Zaratiana et al.
• License: apache-2.0

Usage with inference4j

try (var ner = GlinerEntityRecognizer.builder().build()) {
    List<NamedEntity> entities = ner.recognize(
            text, List.of("person", "organization", "invoice id"));
}

Model Details

License

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/

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APPENDIX: How to apply the Apache License to your work.

To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives.

Copyright [yyyy] [name of copyright owner]

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http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

ONNX input contract

Credits

This PII-specialized checkpoint was published by Knowledgator and is based on GLiNER, created by Urchade Zaratiana and contributors.

PII detection disclaimer

PII detection is probabilistic. This model can miss sensitive information or produce false positives and is not a guarantee that text has been fully de-identified. Use defense in depth, appropriate review, and controls suited to the risk of the data being processed.