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  "path": "/packages/betto_inferencing",
  "publishedAt": "2026-06-18T04:22:05.234Z",
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  "textContent": "ONNX Runtime inference and embedding models for dense text retrieval. Changelog excerpt: Initial development release providing ONNX Runtime inference and embedding models for dense text retrieval on native platforms (macOS, Linux, Windows, Android, iOS). ### Features - **`EmbeddingModel`**— abstract interface for text-to-vector embedding, decoupling consumers from any specific inference backend. - **`OnnxEmbeddingModel`**— ONNX Runtime implementation backed by BGE Small En v1.5, delivering dense embeddings suitable for semantic search and retrieval tasks. - **`BertTokenizer`/ `Tok[...]",
  "title": "v0.1.0-dev.1 of betto_inferencing",
  "updatedAt": "2026-06-18T03:36:12.096Z"
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