Transformers.js - Enable external data format in Node.js (#2)

- Transformers.js - Enable external data format in Node.js (50991b13b7c6da41a8b3cbf00562d0176254ea5f)
- Update README.md (b4e4a47e29a5d3f3a38737d6ce8d4437c6281d51)

README.md

@@ -7,15 +7,15 @@ https://huggingface.co/hf-audio/wav2vec2-bert-CV16-en with ONNX weights to be co
 
 ## Usage (Transformers.js)
 
-If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
 ```bash
-npm i @xenova/transformers
+npm i @huggingface/transformers
 ```
 
 You can then use the model for speech recognition with:
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 // Create an Automatic Speech Recognition pipeline
 const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/wav2vec2-bert-CV16-en');

config.json

@@ -77,5 +77,10 @@
   "use_intermediate_ffn_before_adapter": false,
   "use_weighted_layer_sum": false,
   "vocab_size": 33,
-  "xvector_output_dim": 512
-}
+  "xvector_output_dim": 512,
+  "transformers.js_config": {
+    "use_external_data_format": {
+      "model.onnx": true
+    }
+  }
+}