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") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
Commit History
20 days ago
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README: the h18p package is the 2026-07-07 compile, the JIT .aimodel the 2026-07-20 re-export
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README: ios/ is the JIT .aimodel, ios-h18p/ the h18p bundle; iPhone 18 Pro load numbers
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ios/: the JIT .aimodel alone (every iPhone generation specializes it); the h18p AOT files move to ios-h18p/
Verified signatureMeasured 2026-09-26 on the iPhone 18 Pro (h19p): the shipped ios/ bundle, JIT IR beside h18p delegates, was refused with incompatibleCompiledAssetArchitecture; the JIT files alone load in 0.75 s. Record: knowledge/jit-distribution.md in john-rocky/coreai-model-zoo.887627e
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Card: macOS/iOS 27 GA wording (beta requirement dropped; beta findings dated)
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Card: DeviceMark row (2026-09)
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Card: definition line (Core AI, 2026-09)
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Card: base_model_relation: quantized (so the conversion lists under the base model's Quantizations, not Finetunes)
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Link the card back to its collection and the request box
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Add config.json so the Hub can count downloads
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Re-export with coreai-torch 0.4.1 (fixes OS 27 beta 2+ load failure)
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Re-export with coreai-torch 0.4.1 (fixes OS 27 beta 2+ load failure)
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GLiNER2-PII Core AI: macos JIT + ios AOT h18p + card
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initial commit
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