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update speech checkpoint name
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@@ -197,7 +197,7 @@ from diffusers import BDDM, DiffusionPipeline
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torch_device = "cuda"
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# load the BDDM pipeline
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bddm = DiffusionPipeline.from_pretrained("fusing/diffwave-vocoder")
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bddm = DiffusionPipeline.from_pretrained("fusing/diffwave-vocoder-ljspeech")
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# load tacotron2 to get the mel spectograms
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tacotron2 = torch.hub.load('NVIDIA/DeepLearningExamples:torchhub', 'nvidia_tacotron2', model_math='fp16')
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