AutoNMT: A Framework to Streamline the Research of Seq2Seq Models
Carrión, Salvador, Casacuberta, Francisco
–arXiv.org Artificial Intelligence
We present AutoNMT, a framework to streamline the research of seq-to-seq models by automating the data pipeline (i.e., file management, data preprocessing, and exploratory analysis), automating experimentation in a toolkit-agnostic manner, which allows users to use either their own models or existing seq-to-seq toolkits such as Fairseq or OpenNMT, and finally, automating the report generation (plots and summaries). Furthermore, this library comes with its own seq-to-seq toolkit so that users can easily customize it for non-standard tasks.
arXiv.org Artificial Intelligence
Feb-9-2023
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