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@@ -23,13 +23,4 @@ model = ORTModelForSequenceClassification.from_pretrained('Deepchecks/parrot_flu
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  pip = pipeline(task='text-classification', model=onnx_model, tokenizer=tokenizer, device=device, accelerator="ort")
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  res = pip(user_inputs, batch_size=64, truncation="only_first")
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- ```
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-
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- ## Licensing Information
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- [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
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- [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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-
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- [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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- [cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png
 
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  pip = pipeline(task='text-classification', model=onnx_model, tokenizer=tokenizer, device=device, accelerator="ort")
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  res = pip(user_inputs, batch_size=64, truncation="only_first")
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+ ```