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transQA

Библиотека предназначена для генерации текста или ответа на основе полученных вопроса, ответа, модели и прочих параметров

Install

Для установки выполните команду:

pip install svn+http://svn.consultant.ru/svn/Internal/Docs/NRP/pylibs/transQA

Errors

Если при установке requirements.txt возникли проблемы с torch==1.13.0+cu117 следует использовать команду для отдельной установки:

pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117

В целом все требования из requirements.txt уже содержатся в Python396TF25GPU_release1.1

Кроме sentencepiece==0.1.97, который нужен для работы моделей на основе T5 Его необходимо устанавливать отдельно

Metadata

Release files for transQA 0.0.16

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Source distribution for transQA 0.0.16
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0.0.16 This release

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0.0.15

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0.0.14

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0.0.12

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