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Generation option no_repeat_ngram_size to prevent the repetitions of N-grams with a minimum size
Fixes and improvements
Fix conversion of OpenNMT-tf models that use static position embeddings
Fix a segmentation fault in return_alternatives mode when the target prefix is longer than max_decoding_length
Fix inconsistent state of asynchronous results in Python when a runtime exception is raised
Remove <pad> token when converting MarianMT models from Transformers: this token is only used to start the decoder from a zero embedding, but it is not included in the original Marian model
Optimize CPU kernels with vectorized reduction of accumulated values
Do not modify the configuration passed to OpenNMTTFConverterV2.from_config
Improve Python classes documentation by listing members at the top