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excerpt-highlight-scorer
seanll95/excerpt-highlight-scorer
excerpt-highlight-scorer is a text ranking model from seanll95. Use it for the text ranking task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Core ML cross-encoder that ranks candidate passages by how likely a reader is to highlight them. Used by the Excerpt iOS app's Suggested Highlights feature, which downloads it on first use rather than shipping it in t…
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At a glance
- Task
- Text Ranking
- License
- apache-2.0
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Oct 15, 2026
- SHA
- 2b041e82
Model card
From the Hugging Face model README
Excerpt highlight scorer
Core ML cross-encoder that ranks candidate passages by how likely a reader is to highlight them. Used by the Excerpt iOS app's Suggested Highlights feature, which downloads it on first use rather than shipping it in the app.
Layout
Each revision is a top-level directory. The app pins one by name
(SuggestedHighlightModels.modelRevision) and downloads only that directory, so a
new upload can never be mistaken for a copy already on disk.
v1/electra-crowd-v4.mlpackage/ # Core ML package, compiled on device
v1/tokenizer.json # WordPiece vocabulary
v1/tokenizer_config.json # provenance only
v1/manifest.json # provenance only
Publishing a replacement means uploading v2/ and bumping the constant in the app.
Existing installs keep working against the revision they were built for.
Inputs and outputs
input_ids, attention_mask, token_type_ids → logits. Batch dimension is
fixed at 1; the app batches through MLArrayBatchProvider.
- Task
- Text Ranking
- License
- apache-2.0
- Created
- Sep 19, 2026
- Updated
- Oct 15, 2026