Instructions to use mlboydaisuke/GLiNER2-PII-CoreAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use mlboydaisuke/GLiNER2-PII-CoreAI with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("mlboydaisuke/GLiNER2-PII-CoreAI") - Notebooks
- Google Colab
- Kaggle
Re-export with coreai-torch 0.4.1 (fixes OS 27 beta 2+ load failure)
Browse files
macos/gliner2-pii_float16_s256_t96_m16.aimodel/main.hash
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macos/gliner2-pii_float16_s256_t96_m16.aimodel/main.mlirb
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macos/gliner2-pii_float16_s256_t96_m16.aimodel/metadata.json
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{
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"license" : "Apache-2.0",
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"author" : "fastino (GLiNER2-PII); mDeBERTa-v3 base (Microsoft, MIT)",
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"description" : "GLiNER2 schema-driven information extraction (PII) — mDeBERTa-v3 + SpanMarker + CountLSTM, fused static graph.",
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}
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{
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"creationDate" : "20260720T174953Z",
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"author" : "fastino (GLiNER2-PII); mDeBERTa-v3 base (Microsoft, MIT)",
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"license" : "Apache-2.0",
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"assetVersion" : "2.0",
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"description" : "GLiNER2 schema-driven information extraction (PII) — mDeBERTa-v3 + SpanMarker + CountLSTM, fused static graph.",
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"producer" : "coreai-core 1.0.0b2"
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}
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