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grammarly / gector

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

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I have some Issue with pakage version and this how it fix it

Nghiauet opened this issue · comments

commented
  1. sklearn
    version scikit-learn==0.20.0 deprecated
    => Solved by
    pip install scikit-learn==0.22.2
  2. Error with pytoch package
    Error message
    NVIDIA GeForce RTX 3090 with CUDA capability sm_86 is not compatible with the current PyTorch installation.
    The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70.
    RuntimeError: CUDA error: no kernel image is available for execution on the device
    CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
    For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
    => solved
    pip install torch==1.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
commented

Maybe you need a newer version of cuda, you can try install pytorch with cuda 11.7.

commented

Maybe you need a newer version of cuda, you can try install pytorch with cuda 11.7.

I already updated the cuda version but it dont work. Only install new pytorch version fix that problem