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architectures/incoder.txt
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During the training of InCoder, spans of code were randomly masked and moved to the end of each file, which allows for bidirectional context. Figure below from InCoder [paper](https://arxiv.org/pdf/2204.05999.pdf) illustrates the training process.
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<p align="center">
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<img src="https://huggingface.co/datasets/loubnabnl/repo-images/raw/main/incoder.png" alt="drawing" width="
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</p>
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So in addition to program synthesis (via left-to-right generation), InCoder can also perform editing (via infilling). The model gives promising results in some zero-shot code infilling tasks such as type prediction, variable re-naming and comment generation.
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During the training of InCoder, spans of code were randomly masked and moved to the end of each file, which allows for bidirectional context. Figure below from InCoder [paper](https://arxiv.org/pdf/2204.05999.pdf) illustrates the training process.
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<p align="center">
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<img src="https://huggingface.co/datasets/loubnabnl/repo-images/raw/main/incoder.png" alt="drawing" width="450"/>
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</p>
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So in addition to program synthesis (via left-to-right generation), InCoder can also perform editing (via infilling). The model gives promising results in some zero-shot code infilling tasks such as type prediction, variable re-naming and comment generation.
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