budzianowski/PyTorch-Beam-Search-Decoding
PyTorch implementation of beam search decoding for seq2seq models
This tool helps machine learning engineers and researchers generate high-quality text sequences from sequence-to-sequence models. You input a trained model and an initial sequence, and it outputs a more refined, contextually appropriate sequence of text. This is designed for those working with natural language generation tasks.
338 stars. No commits in the last 6 months.
Use this if you need to improve the output quality of your PyTorch sequence-to-sequence models by exploring multiple candidate sequences.
Not ideal if you are looking for a general-purpose natural language processing library rather than a specific decoding strategy.
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338
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63
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 20, 2023
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