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https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering with ONNX weights to be compatible with Transformers.js.

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 馃 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

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