What do you think about training custom models on Vertex AI? Let us know in the comments and subscribe for more Prototype to Production episodes → goo.gle/GoogleCloudTech
Is vertex custom training done on our local computer? In other words, does vertex custom training allow us to train our model using our local computing, and ram on our personal computer instead of Google cloud?
I can not use the /gcs/MY_BUCKET/ path. My service account has the "Storage Object Admin" Role and I could mount it manually to a given folder. But I cant use it by default as shown here. The bucket is in the same location as the notebook and in the same project. Did you skip a necessary step here? Edit: never mind. This only works in the training pipeline but when you want to test initially in the notebook you need to mount a folder manually
@@roopeshk.r3219 its been a while, but I think I used this: cloud.google.com/blog/topics/developers-practitioners/cloud-storage-file-system-vertex-ai-workbench-notebooks?hl=en
Como es posible que esta info no esté en español, acabo de ver que es funcional hace mucho y apenas me enteró todo lo que hubiera podido hacer si lo hubiera conocido antes... Algunas veces si es demasiado tarde... Igual me alegra haber encontrado esto
What do you think about training custom models on Vertex AI? Let us know in the comments and subscribe for more Prototype to Production episodes → goo.gle/GoogleCloudTech
What's the difference between this and cloud-run-jobs?
Wow this was so much better than the videos in the google ml path courses thanks for this
Yes,. much more interesting and actual knowledge.
nice and helpful video. I started learning how to train custom model code with vertex AI and found this video helpful to me.
Thanks for this, Google team!!
3:48 its slash or forward slash. Not backslash!
I know 🥲 this mistake will haunt me forever.
This is what I am looking for. Thanks for the video 👍🏼
can i not directly select run time gpu on colab enterprise
Is vertex custom training done on our local computer? In other words, does vertex custom training allow us to train our model using our local computing, and ram on our personal computer instead of Google cloud?
Thanks for this video, It's helpful!
I can not use the /gcs/MY_BUCKET/ path. My service account has the "Storage Object Admin" Role and I could mount it manually to a given folder. But I cant use it by default as shown here. The bucket is in the same location as the notebook and in the same project. Did you skip a necessary step here?
Edit: never mind. This only works in the training pipeline but when you want to test initially in the notebook you need to mount a folder manually
How did you mount the Folder inside notebook
@@roopeshk.r3219 its been a while, but I think I used this: cloud.google.com/blog/topics/developers-practitioners/cloud-storage-file-system-vertex-ai-workbench-notebooks?hl=en
@@bytblaster Thank you very much, for quick response.. , Well Appreciated, will tell u this outcome.
tried but no luck ---
🎉 great tool
very good video
Como es posible que esta info no esté en español, acabo de ver que es funcional hace mucho y apenas me enteró todo lo que hubiera podido hacer si lo hubiera conocido antes... Algunas veces si es demasiado tarde... Igual me alegra haber encontrado esto
I might just have developed a tiny bit of a crush on Nikita Namjoshi 👀. She's so cool
too bad she's completely ai generated
i got this error by model deploying: FileNotFoundError: [Errno 2] No such file or directory: '/gcs/my-test-bucket/ball-classification-demo/baseball'
useful video
77th..Thanks
Just complicate, only for training.