brainy/brainy-models-package/models/universal-sentence-encoder/metadata.json

{
  "name": "universal-sentence-encoder",
  "version": "1.0.0",
  "description": "Complete Universal Sentence Encoder model bundled for offline use",
  "dimensions": 512,
  "downloadDate": "2025-08-01T23:20:17.338Z",
  "source": "tensorflow-models/universal-sentence-encoder",
  "approach": "full-bundle",
  "modelUrl": "https://storage.googleapis.com/tfjs-models/savedmodel/universal_sentence_encoder",
  "bundledLocally": true,
  "reliability": "maximum"
}
feat(models): add pre-bundled Universal Sentence Encoder for offline use - Introduced `@soulcraft/brainy-models` package with pre-bundled TensorFlow models for enhanced offline reliability. - Added `index.d.ts` and `index.js` allowing offline embedding workflows with the Universal Sentence Encoder model. - Included utility scripts for model compression, size retrieval, and availability checks. - Added `metadata.json` and `model.json` defining the Universal Sentence Encoder configuration with offline bundling. - Ensured comprehensive model documentation, error handling, and robust logging for seamless integration. - Supported optional model quantization placeholders for future TensorFlow.js enhancements. Purpose: Enable fully offline-ready embedding workflows via pre-bundled Universal Sentence Encoder models, ensuring maximum reliability and air-gapped environment compatibility. 2025-08-01 16:22:58 -07:00			`{`
			`"name": "universal-sentence-encoder",`
			`"version": "1.0.0",`
			`"description": "Complete Universal Sentence Encoder model bundled for offline use",`
			`"dimensions": 512,`
			`"downloadDate": "2025-08-01T23:20:17.338Z",`
			`"source": "tensorflow-models/universal-sentence-encoder",`
			`"approach": "full-bundle",`
			`"modelUrl": "https://storage.googleapis.com/tfjs-models/savedmodel/universal_sentence_encoder",`
			`"bundledLocally": true,`
			`"reliability": "maximum"`
			`}`