ntua-slp
/

CultureMERT-95M

Audio Classification

feature-extraction

Model card Files Files and versions

akanatas commited on Jun 15

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aa0d8c8

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1 Parent(s): 89aefee

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@@ -108,7 +108,7 @@ model = AutoModel.from_pretrained("ntua-slp/CultureMERT-95M", trust_remote_code=
 processor = Wav2Vec2FeatureExtractor.from_pretrained("ntua-slp/CultureMERT-95M", trust_remote_code=True)
 # Load example audio
-dataset = load_dataset("hf-internal-testing/librispeech_asr_demo", "clean", split="validation").sort("id")
 audio_array = dataset[0]["audio"]["array"]
 sampling_rate = dataset.features["audio"].sampling_rate

 processor = Wav2Vec2FeatureExtractor.from_pretrained("ntua-slp/CultureMERT-95M", trust_remote_code=True)
 # Load example audio
+dataset = load_dataset("hf-internal-testing/librispeech_asr_demo", "clean", split="validation", trust_remote_code=True).sort("id")
 audio_array = dataset[0]["audio"]["array"]
 sampling_rate = dataset.features["audio"].sampling_rate