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

README.md

@@ -5,4 +5,20 @@ library_name: transformers.js
 
 https://huggingface.co/unitary/toxic-bert 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:** Text Classification
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const classifier = await pipeline('text-classification', 'Xenova/toxic-bert');
+const output = await classifier('I love transformers!');
+```
+
 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:abecc48a03f9f5e46d275ec86069fd755ba38f20e55f2f5b0472544a2c81bc22
+size 146297357

onnx/model_int8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6cb1e5e2208afa58e461f070e016bc2cdfe7278327a6df495c92e47bb563d302
+size 110250454

onnx/model_q4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a14f599d668b56a01a32a1438216c4981a8f0f86680fe9dd8f89f7d925de9587
+size 151605245

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26d4fca6d63451fb73e24bc58b248a0bed4a0559256b782e17461389c9419828
+size 97192620

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5cbbf44c6bbf64a53c8973f3e4ba2dc88574b0c1b14a18fd77557c5eb39b55a2
+size 110250496