Add/update the quantized ONNX model files and README.md for Transformers.js v3

README.md

@@ -6,4 +6,20 @@ pipeline_tag: feature-extraction
 
 https://huggingface.co/squeezebert/squeezebert-mnli with ONNX weights to be compatible with Transformers.js.
 
+## 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/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+**Example:** Run feature extraction.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const extractor = await pipeline('feature-extraction', 'Xenova/squeezebert-mnli');
+const output = await extractor('This is a simple test.');
+```
+
 Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

onnx/model_bnb4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdaf87e4d80c9d60ae265901ffb7d5954926a378317587d36b1aadc8378ae603
+size 202257721

onnx/model_q4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cdaf87e4d80c9d60ae265901ffb7d5954926a378317587d36b1aadc8378ae603
+size 202257721

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eab10cdeece1000f58abd09e70e8d63a84ed5cf8472f8a890645b547e60a6ef8
+size 101250462

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93bfcbbb0411c81e26cce62967495def32a824d7b7ca0584b36316cbe9eb8df5
+size 51229228