Cong

Yes. In neovim, after successfully installing the plugin, I failed to `:LeetCodeList` with the error above. The same error happened even after a manual `:LeetCodeSignIn` beforehand.

Support Japanese, please! Thanks.

On my Mac, the problem only solves by setting Docker Memory limit to 8.0 GB and `%env CORENLP_JAVAOPTS=-Xmx4g` in the Jupyter notebook.

My workaround: - Git reset newly added (Ruby) files once and re-add later after `pronto run --staged` - Check the newly added (Ruby) files by running separate checkers (Reek, Rubocop,...

Is there any progression on this? I'd like to see an example of prediction monitoring using whylogs with MLflow.

The text "SAMPLE 0" generated above is not completely Japanese, but a random mix of Chinese and Japanese.

I've tried to generate Japanese text. To my surprise, the model output is almost all legal Japanese characters (no Chinese character mixed), though the words and sentences are very strange....

Just found that even on the Colab ``` !which nvidia-smi !sudo nvidia-smi /usr/bin/nvidia-smi Failed to initialize NVML: Driver/library version mismatch ``` So the problem came from using root for SSH...

That's exactly what I'm doing. Anyway, without setting proper env vars, I was not able to use the GPU.

Can we save the token in Google Drive? ``` with open('/drive/ngrok-ssh/ngrok_token.txt') as f: remocolab.setupSSHD( ngrok_token=f.readline().strip(), ngrok_region="jp", ) ```