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Tabnine binary doesn't work on Apple M1 machines #308
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@talcodota Check my post Make Tabnine Great Again on Apple M1 Chip |
The x86_64 binary works fine on Apple Silicon (as the link in the previous comment indicates) Of course, a native binary would be even better. |
Hi folks We are working on supporting Apple Silicon for Tabnine, and we are getting close to release. We can provide a private plugin build for either vscode or intellij idea (and other jetbrains products). |
how |
We have released plugins with m1 support for vscode, intellij (and other jetbrains products), sublime, vim. If you update your plugin to the latest version, you should be able to work normally on an m1 machine. Note that for vscode you should currently install vscode insiders build, until they formally release a version that supports m1 natively. |
What's the first version that supports M1? I would like to update company-tabnine. |
This is also the message in the app:
|
Hi, versions |
Hi, is it possible to use Tabnine on a Macbook Pro m1 2020 in Jupyter Notebook? |
just in case to anyone encountered with this problem using this fix cd ~.local/share/nvim/site/pack/packer/opt/cmp-tabnine |
Help -> Toggle Developer Tools
Issue Details:
Tabnine was installed in MacBook pro with Apple Silicon M1, but it didn't work.
There are no error logs.
The text was updated successfully, but these errors were encountered: