---
library_name: gliner
pipeline_tag: token-classification
license: mit
tags:
- gliner
- relation-extraction
- data-use
- v0
- alpha
---

# datause-relation-v0

Fine-tuned GLiNER2 adapter for relation extraction in Data Use impact assessment pipeline.

**Architecture:** LoRA adapter for `fastino/gliner2-large-v1`  
**Relations:** has_organization, used_by, has_acronym, has_timeframe, has_geography  
**Training data:** LLM-generated synthetic + real-world PDF text  
**Status:** v0 alpha — initial fine-tuning.

## Usage

```python
from gliner import GLiNER2

model = GLiNER2.from_pretrained("fastino/gliner2-large-v1")
model.load_adapter("ai4data/datause-relation-v0")
```

## Pipeline Integration

Call 1b in 3-model swarm:
- Call 1: Entity extraction (`ai4data/datause-extraction`)
- **Call 1b: Relation extraction (this model)**
- Call 2: Classification (`ai4data/datause-impact-v0`)