Cnam-LMSSC
/

EBEN_rigid_in_ear_microphone

Inference Endpoints

Model card Files Files and versions Community

jhauret commited on Jun 18, 2024

Commit

1551672

·

verified ·

1 Parent(s): 0a0fa3a

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -44,7 +44,7 @@ import torch, torchaudio
 from vibravox import EBENGenerator
 from datasets import load_dataset
-model = EBENGenerator.from_pretrained("CCnam-LMSSC/EBEN_rigid_in_ear_microphone")
 test_dataset = load_dataset("Cnam-LMSSC/vibravox", "speech_clean", split="test", streaming=True)
 audio_48kHz = torch.Tensor(next(iter(test_dataset))["audio.rigid_in_ear_microphone"]["array"])

 from vibravox import EBENGenerator
 from datasets import load_dataset
+model = EBENGenerator.from_pretrained("Cnam-LMSSC/EBEN_rigid_in_ear_microphone")
 test_dataset = load_dataset("Cnam-LMSSC/vibravox", "speech_clean", split="test", streaming=True)
 audio_48kHz = torch.Tensor(next(iter(test_dataset))["audio.rigid_in_ear_microphone"]["array"])