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I am interested in training this model which implements the below paper:
Conformer: Convolution-augmented Transformer for Speech Recognition
I believe the example 1 with conformer-lstm would train this model. Is my assumption right?
Also, according to paper there are 3 different models that vary according to the hyper-parameter and I am interested in the "s" version of the model having
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Issue #923 Asked for ANY_CREATURE, GOOD_CREATURE and EVIL_CREATURE, but only ANY_CREATURE was delivered.
So it would be good if the other two could work too, in script commands like CHANGE_CREATURE_OWNER or USE_POWER_ON_CREATURE.
Example:
IF(PLAYER0,GOOD_CREATURES > 20)
NEXT_COMMAND_REUSABLE
CHANGE_CREATURE_OWNER(PLAYER0,GOOD_CREATURE,ON_ENEMY_GROUND,PLAYER_GOOD)
ENDIF
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Aug 6, 2021 - Python
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Describe the bug
Search results in the members and administrators modals persist on closing on opening the modals again. There is no way to clear the search result other than searching for blank or switching to a different page and stitching back, both of these are not intuitive and lead to bad user experience.
Steps to Reproduce
Steps to reproduce the behavior: