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[GSoC] 237 - Typo Detection #908
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
It seems that Also please let me know if there are any ideas for further improvement in this notebook. |
We have created a PR (#910) with the fix. Please rebase your PR when it's merged. |
Noted with thanks. |
Co-authored-by: Zhuo Wu <[email protected]>
Co-authored-by: Zhuo Wu <[email protected]>
Please update your branch to notebook main and pass all CI. Then we can assign your notebook to final round of review. Thanks~ |
Thanks for the reply @zhuo-yoyowz The build fails on Python 3.9 in CI tests because the xml file can't be read by the runtime core. I've check this locally and it works. Any idea what might cause this |
@Ravindu987, this is great work. Please restore changes in the main README, solve conflicts and change the number to 243 and I'll merge it :) |
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it is preferred to use python API for Model Optimizer then CLI, could you please convert model using this way?
see https://docs.openvino.ai/2023.0/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html for details
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Done. Please check
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it is perfect, but you do not uses Infer Request directly in code below, so description is not complete or does not correspond of your inference way
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Updated the description. Earlier I used Infer requests and when I changed it I forgot to update the description. Sorry about that. Please check now.
Hi all, |
Hi all, |
@Ravindu987, please round variables names in `` tag and install optimum intel inside notebook, you can check as example P.S. do not worry, I do it for you |
Thank you for the help, everyone. I would be pleased to contribute more. Please let me know if there are any other such needs. In the meantime I'll keep an eye on issues and try to contribute towards them. |
As per the prerequisite task assigned to me for GSoC '23 (#832), I have added the implementation of HuggingFace Typo Detection model with OpenVINO.
The newly added notebook provides a comprehensive guide for the above implementation in two methods.
Since there is a PR for 236 (#902) , I chose 237 as the number for this notebook.