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Tags: djqualia/audiolm-pytorch

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0.1.18

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not all the transformer may need conditioning, perhaps only semantic …

…is conditioned, the rest just upresolutes

0.1.17

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get a working example of text conditioned semantic transformer training

0.1.16

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switch to modrelu, seems to be recommended by a lot of torch complex …

…packages

0.1.15

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allow fine transformer to be trained on pre-encoded soundstream codeb…

…ook indices

0.1.14

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set things up for eventual text conditioned audio synthesis

0.1.12

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expose the ema decay for the residual vq in soundstream

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0.1.9

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some tweaks to soundstream, include commitment loss

0.1.7

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validate transformers being passed into audiolm