Patch 1

[iakovosevdaimon]

1. Update of hub_interface.py: Add add_if_not_exist parameter in the encode function of hub_interface.py of BART model, because otherwise there are mismatch issues.

2. Update denoising task: Fix mistakes in the default values, type, and explanation of the parameters permute_sentences, shuffle_instance, and replace_length

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What does this PR do?

Fixes # Solve the mismatch issues of encoder embeddings during inference. Also update the parameters of the denoising task, because otherwise, the sentence permutation perturbation scheme doesn't work correctly by using the default value. Moreover, fix the misleading default values and descriptions of some parameters.

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