Create README.md

README.md

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+---
+license: apache-2.0
+pipeline_tag: object-detection
+library_name: transformers.js
+---
+
+---
+license: apache-2.0
+base_model:
+- PekingU/rtdetr_v2_r18vd
+pipeline_tag: object-detection
+library_name: 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:** Perform object-detection with `onnx-community/rfdetr_base-ONNX`.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const detector = await pipeline('object-detection', 'onnx-community/rfdetr_base-ONNX');
+
+const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
+const output = await detector(img, { threshold: 0.75 });
+console.log(output);
+```