stas00/porting

Helper scripts and notes that were used while porting various nlp models

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This repository offers a collection of scripts and notes used to adapt various Natural Language Processing (NLP) models for different environments or frameworks. It provides practical solutions for tasks like integrating fairseq WMT transformers, utilizing DeepSpeed, or handling Pegasus datasets. NLP engineers and machine learning practitioners who work with existing NLP models would find these resources helpful.

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Use this if you are an NLP engineer needing to migrate or adapt pre-existing NLP models like those from fairseq or integrate them with tools like DeepSpeed.

Not ideal if you are looking for an out-of-the-box, end-user NLP application or a library for building new NLP models from scratch.

NLP-model-migration Machine-translation-porting Deep-learning-framework-adaptation NLP-infrastructure Dataset-preparation
No License Stale 6m No Package No Dependents
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Last pushed

Mar 22, 2022

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