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@ -184,7 +184,7 @@ class PairClassificationPipeline(Pipeline):
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```
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The implementation is framework agnostic, and will work for PyTorch and TensorFlow models. If we have saved this in
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a file named `pair_classification.py`, we can then import it and register it like this:
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a file named `pair_classification.py`, we can then import it and register it like this. The [register_pipeline](https://github.com/huggingface/transformers/blob/9feae5fb0164e89d4998e5776897c16f7330d3df/src/transformers/pipelines/base.py#L1387) function registers the pipeline details (task type, pipeline class, supported backends) to a models `config.json` file.
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```py
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from pair_classification import PairClassificationPipeline
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