Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
Browse files- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (c3f325545a78f37e3d80e4ee107def44929e59be)
Co-authored-by: Yuichiro Tachibana <[email protected]>
README.md
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# answerdotai-ModernBERT-base-ai-detector (ONNX)
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This is an ONNX version of [AICodexLab/answerdotai-ModernBERT-base-ai-detector](https://huggingface.co/AICodexLab/answerdotai-ModernBERT-base-ai-detector). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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# answerdotai-ModernBERT-base-ai-detector (ONNX)
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This is an ONNX version of [AICodexLab/answerdotai-ModernBERT-base-ai-detector](https://huggingface.co/AICodexLab/answerdotai-ModernBERT-base-ai-detector). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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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/@huggingface/transformers) using:
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```bash
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npm i @huggingface/transformers
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```
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**Example:** Text Classification with AI Content Detection.
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```js
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import { pipeline } from '@huggingface/transformers';
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const classifier = await pipeline('text-classification', 'onnx-community/answerdotai-ModernBERT-base-ai-detector-ONNX');
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const output = await classifier('I love transformers!');
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```
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