Aisuko comments

Results 75 comments of


Aisuko

Fix invalid Deployment definitions in kubectl apply/kustomize reference

/assign

Add new doc for deploying third part app

/assign @KnVerey

Add new doc for deploying third part app

> Hi @Aisuko > > Thanks for your contribution! I apologize for the super delay to review. > > @KnVerey is still very busy, check this PR instead. I already...

Add new doc for deploying third part app

@koba1t Thanks for your suggestions. I will help review more PRs. And I have tested the latest version of code of this PR, it should be ok. ``` @Aisuko ➜...

Add new doc for deploying third part app

Hi @annasong20. May you please help to merge this one?

Add new doc for deploying third part app

Hi @natasha41575 May you please to help to merge this one?

Fix install_kustomize.sh

I have tested it too. It works for me. ``` @Aisuko ➜ /workspaces/kustomize (install_fix) $ /bin/bash ./hack/install_kustomize.sh v5.1.0 kustomize installed to /workspaces/kustomize/kustomize ```

bart-large-xsum model: There were missing keys in the checkpoint model loaded: ['model.encoder.embed_tokens.weight', 'model.decoder.embed_tokens.weight', 'lm_head.weight'].

Hi, guys. Thanks for your quick response. The minimal code see below, the code only including the steps of processing data and training. And we cat get same result from...

bart-large-xsum model: There were missing keys in the checkpoint model loaded: ['model.encoder.embed_tokens.weight', 'model.decoder.embed_tokens.weight', 'lm_head.weight'].

> Sorry, could you just push a model to the hub, (the one you trained). No need for the full training loop Here you are https://huggingface.co/aisuko/ft-facebook-bart-large-xsum-on-samsum. The training parameters please...