shaltielshmid
shaltielshmid
Right. I guess my response is regarding the linked issue with downloading the weights to a pretrained model (vgg) from the torch hub. Maybe we can integrate using the already...
Yes I'm not sure if that's the place to implement it since it would require PyBridge to be installed, which would be another dependency
I have a possible solution - version 1.0.0 of `TorchSharp.PyBridge` doesn't require the changes that were added in TorchSharp 0.101.5, but I believe the published version still requires 0.101.1. It...
Thank you @irmen for helping push this along! @GeorgeS2019 An extension methods package for TorchSharp is now published on NuGet using the `pickle` library allowing loading & saving PyTorch format...
Correct. I read all the parameters and buffers from the pickled file into a state dictionary, and then call Module.load_state_dict. The PyTorch format is very similar to how TorchSharp saves...
That would be great! Would you like me to write up a draft?
The information from the pickle file is simply a dictionary mapping a parameter/buffer name to a tensor. Similar to what you would get from calling `Module.state_dict()` in TorchSharp or PyTorch....
Also, I saw in one of the python scripts that you rename some of the weights to match the naming scheme between HuggingFace and llm-sharp. There is a useful attribute...
Hi! The new system looks great! I haven't had a chance to delve into it yet, but I believe some of the changes I added here are still relevant, although...
Has there been any update about this? I just encountered this as well :)