David Snelling
e476d45fac
- 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.
12 lines
No EOL
458 B
JSON
12 lines
No EOL
458 B
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"
|
|
} |