ntua-slp
/

CultureMERT-95M

Audio Classification

feature-extraction

Model card Files Files and versions

akanatas commited on Jun 15

Commit

572a1b4

·

verified ·

1 Parent(s): aa0d8c8

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -124,7 +124,7 @@ else:
 if resampler is None:
 	input_audio = dataset[0]["audio"]["array"]
 else:
-  input_audio = resampler(torch.from_numpy(dataset[0]["audio"]["array"]))
 # Extract hidden states
 inputs = processor(input_audio, sampling_rate=resample_rate, return_tensors="pt")

 if resampler is None:
 	input_audio = dataset[0]["audio"]["array"]
 else:
+  input_audio = resampler(torch.from_numpy(dataset[0]["audio"]["array"]).to(dtype=resampler.kernel.dtype))
 # Extract hidden states
 inputs = processor(input_audio, sampling_rate=resample_rate, return_tensors="pt")