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
README: the h18p package is the 2026-07-07 compile, the JIT .aimodel the 2026-07-20 re-export
Browse files
README.md
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@@ -103,7 +103,9 @@ reference (span-scores cos **0.999993**), and the decoded entities match exactly
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specializes it on its first load (iPhone 18 Pro: 0.75 s, then 0.09 s); no per-architecture bundle needed.
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- `ios-h18p/` — the AOT-compiled h18p bundle (~823 MB) + `tokenizer/` + `extractor.json`, for the iPhone 17 Pro
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only (an `.aimodelc` loads on its own architecture and nowhere else). Until revision `887627e` this bundle
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sat in `ios/`, where the iPhone 18 Pro refused it (`incompatibleCompiledAssetArchitecture`).
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`extractor.json` carries the graph shapes and the GLiNER special-marker token ids (they live above
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the Unigram vocab, so the host emits them directly). The tokenizer is the mDeBERTa SentencePiece model
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specializes it on its first load (iPhone 18 Pro: 0.75 s, then 0.09 s); no per-architecture bundle needed.
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- `ios-h18p/` — the AOT-compiled h18p bundle (~823 MB) + `tokenizer/` + `extractor.json`, for the iPhone 17 Pro
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only (an `.aimodelc` loads on its own architecture and nowhere else). Until revision `887627e` this bundle
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sat in `ios/`, where the iPhone 18 Pro refused it (`incompatibleCompiledAssetArchitecture`). It was compiled
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from the 2026-07-07 export; the JIT `.aimodel` in `macos/` and `ios/` is the 2026-07-20 re-export
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(coreai-torch 0.4.1), and the h18p package was not recompiled from it.
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`extractor.json` carries the graph shapes and the GLiNER special-marker token ids (they live above
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the Unigram vocab, so the host emits them directly). The tokenizer is the mDeBERTa SentencePiece model
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