Prepare universal sentence encoder for npm (#144)

- Rename the global variable to `use`
- Add `.npmignore` file to reduce npm pkg size
- Update the docs to reflect both npm and script tag

Author: dsmilkov

universal-sentence-encoder/.npmignore

@@ -0,0 +1,13 @@
+.vscode/
+.rpt2_cache/
+demo/
+src/
+coverage/
+package/
+node_modules/
+karma.conf.js
+*.tgz
+.travis.yml
+.npmignore
+tslint.json
+yarn.lock

universal-sentence-encoder/README.md

@@ -6,24 +6,33 @@ This module is a TensorFlow.js [`FrozenModel`](https://js.tensorflow.org/api/lat
 
 ## Usage
 
-```js
+To import in npm:
 
+```js
 import * as use from '@tensorflow-models/universal-sentence-encoder';
+```
 
-// Load the model.
-const model = await use.load();
-
-// Embed an array of sentences.
-const sentences = [
-  'Hello.',
-  'How are you?'
-];
+or as a standalone script tag:
 
-const embeddings = await model.embed(sentences);
+```js
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
+<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/universal-sentence-encoder"></script>
+```
 
-// `embeddings` is a 2D tensor consisting of the 512-dimensional embeddings for each sentence.
-// So in this example `embeddings` has the shape [2, 512].
-const verbose = true;
-embeddings.print(verbose);
+Then:
 
+```js
+// Load the model.
+use.load().then(model => {
+  // Embed an array of sentences.
+  const sentences = [
+    'Hello.',
+    'How are you?'
+  ];
+  model.embed(sentences).then(embeddings => {
+    // `embeddings` is a 2D tensor consisting of the 512-dimensional embeddings for each sentence.
+    // So in this example `embeddings` has the shape [2, 512].
+    embeddings.print(true /* verbose */);
+  });
+});
 ```

universal-sentence-encoder/rollup.config.js

@@ -40,10 +40,10 @@ function config({plugins = [], output = {}}) {
 
 export default [
   config(
-      {output: {format: 'umd', name: 'universal-sentence-encoder', file: 'dist/universal-sentence-encoder.js'}}),
+      {output: {format: 'umd', name: 'use', file: 'dist/universal-sentence-encoder.js'}}),
   config({
     plugins: [minify()],
-    output: {format: 'umd', name: 'universal-sentence-encoder', file: 'dist/universal-sentence-encoder.min.js'}
+    output: {format: 'umd', name: 'use', file: 'dist/universal-sentence-encoder.min.js'}
   }),
   config({
     plugins: [minify()],