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--- |
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library_name: "transformers.js" |
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--- |
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https://huggingface.co/facebook/detr-resnet-50 with ONNX weights to be compatible with Transformers.js. |
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## Usage (Transformers.js) |
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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: |
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```bash |
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npm i @xenova/transformers |
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``` |
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**Example:** Perform object-detection with `Xenova/detr-resnet-50`. |
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```js |
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import { pipeline } from '@xenova/transformers'; |
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const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50'); |
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const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg'; |
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const output = await detector(img, { threshold: 0.9 }); |
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// [{ |
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// "score": 0.9976370930671692, |
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// "label": "remote", |
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// "box": { "xmin": 31, "ymin": 68, "xmax": 190, "ymax": 118 } |
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// }, |
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// ... |
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// { |
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// "score": 0.9984092116355896, |
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// "label": "cat", |
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// "box": { "xmin": 331, "ymin": 19, "xmax": 649, "ymax": 371 } |
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// }] |
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``` |
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## Demo |
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Test it out [here](https://huggingface.co/spaces/static-templates/transformers.js), or [create](https://huggingface.co/new-space?template=static-templates%2Ftransformers.js) your own object-detection demo with 1 click! |
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--- |
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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`). |
