jspisak
Joined 9 years ago
Karma
33
Submissions
14
Member since
Jan 5
Recent submissions
Comment · 3 years ago
Yeah - different projects have different goals and licenses aren't one size fits all. Depending on the project, type of technology, goals, etc.. we will select or even develop the right license that aligns with those goals. Hope this helps :)
Comment · 3 years ago
Yep - here is the site: https://www.metaconnect.com/en/home
Comment · 3 years ago
Partner integrations will follow. For now we just have the weights available.
But don't worry, this community moves fast!
Comment · 3 years ago
It would be interesting to understand if a ~30B Llama-2 model would be interesting and for what reasons.
Comment · 3 years ago
If you watch the Connect talks, I'll be speaking about this..
Comment · 4 years ago
thanks for posting this - you can learn more here: https://ai.facebook.com/blog/protein-folding-esmfold-metagen...
Cheers!
Comment · 4 years ago
It's really awesome to finally see this landed. Congrats to the team and to the PyTorch community!
Comment · 7 years ago
PyTorch Mobile is a start and is available for iOS and Android. Given folks like PFN and Microsoft are (or will be heavy contributors) i would expect support for more devices to broaden. Have you tried it out yet? No need for a separate set of op semantics or framework.. :) https://pytorch.org/mobile/home/
Comment · 7 years ago
We have been working with G on TPU support for PyTorch. Have you tried it out? https://github.com/pytorch/xla
Comment · 7 years ago
Finally the solution to all of your PyTorch citation problems! :)
Comment · 7 years ago
Yeah, generally a cloud based approach to training models is better than on your mac. AMD folks have been working on RoCM for some time and it works reasonably well for common models but the AMD GPU HW isn't pervasive like Nvidia GPUs in places like AWS.
If you are looking at using Colab for prototyping, you can also try TPUs which are now supported for PyTorch. Here is the link some additional info including some Colab NBs: https://github.com/pytorch/xla
Comment · 9 years ago
Amazon backing MXNet is pretty awesome and having it be a 'real' open project is great for the community..