Update README.md

README.md

@@ -5,4 +5,32 @@ pipeline_tag: image-to-text
 
 https://huggingface.co/vikp/texify 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/@xenova/transformers) using:
+```bash
+npm i @xenova/transformers
+```
+
+**Example:** Image-to-text w/ `Xenova/texify`.
+
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create an image-to-text pipeline
+const texify = await pipeline('image-to-text', 'Xenova/texify');
+
+// Generate LaTeX from image
+const image = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/latex2.png';
+const latex = await texify(image, { max_new_tokens: 384 });
+console.log(latex);
+// [{ generated_text: "$$ |\\ \\frac{1}{x}=\\frac{1}{c}|=|\\ \\frac{c-x}{xc}|=\\frac{1}{|x|}\\cdot\\frac{1}{|c|}\\cdot|x-c|$$\n\nThe factor $$ \\frac{1}{|x|}$$ is not good if its near 0." }]
+```
+
+| Input image | Visualized output |
+|--------|--------|
+| ![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/2wuLARy79CfVxqOLgrhDd.png) | ![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/chMw_jp7StOEhS0yOdL94.png) |
+
+---
+
 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`).