| --- |
| language: |
| - en |
| tags: |
| - gliner |
| - glinerv2 |
| - ner |
| - pii-extraction |
| - indian-pii |
| license: apache-2.0 |
| base_model: fastino/gliner2-base-v1 |
| --- |
| |
| # AADHAAR_Extractor: Indian PII Fine-Tune (fastino/gliner2-base-v1) |
| |
| This is a fine-tuned version of the `fastino/gliner2-base-v1` architecture, optimized specifically for extracting Indian Personally Identifiable Information (PII) from unstructured text. |
| |
| The model was trained to replace brittle RegEx pipelines with a generalized neural extractor. It identifies complex identity and financial markers regardless of surrounding sentence structure. |
| |
| ## Supported Entities |
| The model is trained to predict and extract the following exact labels: |
| * `Person Name` |
| * `PAN Number` |
| * `Aadhaar Number` |
| * `IFSC Code` |
| * `Bank Name` |
| |
| ## Model Details |
| * **Base Architecture:** `fastino/gliner2-base-v1` |
| * **Task:** Named Entity Recognition (NER) / PII Redaction |
| * **Training Data:** Synthetically generated records mirroring real-world Indian financial and identity document formats. |
| * **Language:** English (with Indian contextual formats) |
| |
| ## Usage (Inference) |
| Requires the `gliner` library. Ensure your environment has the required dependencies installed. |
| |
| ```bash |
| pip install gliner2 |
