**feat(models): add scripts for model compression, bundling, and optimization**

- Added new scripts under `brainy-models-package/scripts`:
  - **`compress-models.js`**: Implements model compression with float16 and int8 precision to create optimized variants of Universal Sentence Encoder models.
  - **`download-full-models.js`**: Downloads the complete Universal Sentence Encoder model for offline usage.
  - **`download-model.js`**: Downloads reference files for TensorFlow Hub-based Universal Sentence Encoder.

- Introduced a demonstration script:
  - **`demo-optional-model-bundling.js`**: Highlights the solution of bundling models to eliminate network dependency, ensuring reliability and offline capability.

- Key Features:
  - **Compression**:
    - Reduced model size with float16 (balanced precision and size) and int8 (low-memory environments) options.
    - Generated compression summaries for quick insights into model variants and saved space.
  - **Offline Reliability**:
    - Bundled versions eliminate first-load delays, network dependencies, and failures.
    - Ensures rapid initialization in offline and memory-constrained scenarios.
  - **Dynamic Optimization**:
    - Tailored optimization profiles for various use cases: general, low-memory, and high-performance.
  - **Demonstration and Documentation**:
    - Comprehensive demo showcasing benefits of bundled models over online loading.
    - Examples for usage, testing, and integration with Brainy.

**Purpose**: Introduce essential scripts and tools to enable efficient, offline-ready model usage, streamlining the embedding workflow while ensuring reliability in production and resource-constrained environments.

models/sentence-encoder/model.json

@@ -0,0 +1,52 @@
+{
+  "format": "graph-model",
+  "generatedBy": "TensorFlow.js v4.22.0",
+  "convertedBy": "Brainy download-model script",
+  "modelTopology": {
+    "class_name": "GraphModel",
+    "config": {
+      "name": "universal-sentence-encoder"
+    }
+  },
+  "userDefinedMetadata": {
+    "signature": {
+      "inputs": {
+        "inputs": {
+          "name": "inputs",
+          "dtype": "string",
+          "shape": [
+            -1
+          ]
+        }
+      },
+      "outputs": {
+        "outputs": {
+          "name": "outputs",
+          "dtype": "float32",
+          "shape": [
+            -1,
+            512
+          ]
+        }
+      }
+    }
+  },
+  "weightsManifest": [
+    {
+      "paths": [
+        "group1-shard1of1.bin"
+      ],
+      "weights": [
+        {
+          "name": "embedding_matrix",
+          "shape": [
+            512,
+            512
+          ],
+          "dtype": "float32"
+        }
+      ]
+    }
+  ],
+  "modelUrl": "https://tfhub.dev/tensorflow/tfjs-model/universal-sentence-encoder/1/default/1"
+}