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pique0822
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return [means, variance]


class ReverbConfig(PretrainedConfig):
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not sure if this is 100% possible, but could we include .json/.yaml (or any other format) with model files and load the whole configuration of this class?

"hf-reverb/tk.model",
)
decoder_ids = []
with open("hf-reverb/tk.units.txt", 'r') as units_file:
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same as above, can we include this modification in the preprocessing step so the inference is as simple as possible?

@@ -0,0 +1,46 @@
import numpy as np
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do you plan to keep this example call script? maybe add some arguments then?

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2 participants