bert_tokenizer 1.0.2
bert_tokenizer: ^1.0.2 copied to clipboard
A lightweight, pure Dart WordPiece tokenizer for BERT NLP models. Completely independent of Flutter.
We analyzed this package 4 days ago, and awarded it 160 pub points (of a possible 160):
10/10 points: Provide a valid pubspec.yaml
5/5 points: Provide a valid README.md
5/5 points: Provide a valid CHANGELOG.md
10/10 points: Use an OSI-approved license
Detected license: MIT.
10/10 points: 20% or more of the public API has dartdoc comments
7 out of 18 API elements (38.9 %) have documentation comments.
Some symbols that are missing documentation: bert_tokenizer, bert_tokenizer.BertInput.BertInput.new, bert_tokenizer.BertInput.inputIds, bert_tokenizer.BertInput.inputMask, bert_tokenizer.BertInput.segmentIds.
10/10 points: Package has an example
20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
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✓ Android
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✓ iOS
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✓ Windows
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✓ Linux
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✓ macOS
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✓ Web
WASM-ready: This package is compatible with runtime wasm. See https://dart.dev/web/wasm for details.
50/50 points: code has no errors, warnings, lints, or formatting issues
10/10 points: All of the package dependencies are supported in the latest version
No dependencies.
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.
10/10 points: Package supports latest stable Dart and Flutter SDKs
20/20 points: Compatible with dependency constraint lower bounds
pub downgrade does not expose any static analysis error.
Analyzed with Pana 0.23.12, Dart 3.12.1.
Check the analysis log for details.