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On-device text embeddings for Flutter: auto-downloads a verified MiniLM ONNX model, WordPiece tokenizer, cosine similarity and a vector store. Offline, no API keys.

Use this package as a library

Depend on it

Run this command:

With Flutter:

 $ flutter pub add ai_core_codespark

This will add a line like this to your package's pubspec.yaml (and run an implicit flutter pub get):

dependencies:
  ai_core_codespark: ^0.1.1

Alternatively, your editor might support flutter pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:ai_core_codespark/ai_core_codespark.dart';
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API reference

Publisher

verified publisherksaikiran.dev

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On-device text embeddings for Flutter: auto-downloads a verified MiniLM ONNX model, WordPiece tokenizer, cosine similarity and a vector store. Offline, no API keys.

Homepage
Repository (GitHub)
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Topics

#embeddings #semantic-search #onnx #nlp #on-device

License

MIT (license)

Dependencies

crypto, flutter, http, onnxruntime, path, path_provider, unorm_dart

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