metadata
library_name: gliner
pipeline_tag: token-classification
license: mit
tags:
- gliner
- classification
- data-use
- v0
- alpha
datause-impact-v0
Fine-tuned GLiNER2 adapter for multi-task classification in Data Use impact assessment pipeline.
Architecture: LoRA adapter for fastino/gliner2-large-v1
Tasks: usage, typology, purpose_action
Status: v0 alpha — initial fine-tuning.
Usage
from gliner import GLiNER2
model = GLiNER2.from_pretrained("fastino/gliner2-large-v1")
model.load_adapter("ai4data/datause-impact-v0")
Pipeline Integration
Call 2 in 3-model swarm:
- Call 1: Entity extraction (
ai4data/datause-extraction) - Call 1b: Relation extraction (
ai4data/datause-relation-v0) - Call 2: Classification (this model)