Run Reverb using Huggingface Pipelines (Missing Model Files) #33
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| return [means, variance] | ||
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| 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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