Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)

- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (72802f2b01f5c5190f82e24b3903cfd80e75ba07)


Co-authored-by: Yuichiro Tachibana <[email protected]>

README.md

@@ -5,4 +5,21 @@ library_name: transformers.js
 
 https://huggingface.co/facebook/deit-tiny-distilled-patch16-224 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:** Classify an image.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const classifier = await pipeline('image-classification', 'Xenova/deit-tiny-distilled-patch16-224');
+const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
+const output = await classifier(url);
+```
+
 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 sha256:5e631b2ab9f5b0efe11596feb186db05274acf3c617afbe66e4ad9ba38288796
+size 5606943

onnx/model_q4.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54aeadc88f0b9e089e413ae903668f2596848c3733387a83e5f2d190de9d5889
+size 5938191

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09154324691c499696b735c33604373112b97972c7ff157dfe30ee13a37861e1
+size 4401772

onnx/model_uint8.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63db37d143bed075ce4c061f044506e0792891fd320c70ad56814707cfd7c422
+size 6421154