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

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- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (c3f325545a78f37e3d80e4ee107def44929e59be)


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

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  1. README.md +16 -0
README.md CHANGED
@@ -7,3 +7,19 @@ base_model:
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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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+
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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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+ ```