Fahim Dalvi
Fahim Dalvi
Ah, sorry I missed that! As for results, yes, we do consistently get better results with `dbrnn` compared to `brnn` (we train models involving Arabic, English & German)
Hi @Hellisotherpeople, Thanks for the suggestion! We are planning to expand our tutorials/notebooks in the near future, and I think your suggestions are completely aligned with what we have planned!...
Hello @aprzez, Currently NeuroX only supports `transformers` (from HuggingFace) models for extraction, because extracting the representations need access and knowledge of the internals of the implementation. There are two possible...
Apologies for the delayed response, but I was away and this slipped my mind after coming back. `return_all_hiddens` should change what your _inference_ time outputs look like, not what happens...
@baselmousi Whats v1 and v2 here? Are these testing for different things? We can name them better in that case
Should be fixed now, will try to reproduce it locally for good measure just to be sure.
Agreed, I think it would be a good feature to have.
@ahmed451 can you add the original sentence as well in its raw form?
I think this was fixed with the update to latest neurox? Can you confirm?
Hi @ahmed451, can you confirm that this is no longer an issue? I believe it was fixed with an update right?