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w2v-bert-2.0

Feature Extraction

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Correct demo code

#32

by ernestchu - opened Jul 10, 2025

base: refs/heads/main

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from: refs/pr/32

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README.md +1 -1

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@@ -125,7 +125,7 @@ dataset = load_dataset("hf-internal-testing/librispeech_asr_demo", "clean", spli
 dataset = dataset.sort("id")
 sampling_rate = dataset.features["audio"].sampling_rate
-processor = AutoProcessor.from_pretrained("facebook/w2v-bert-2.0")
 model = Wav2Vec2BertModel.from_pretrained("facebook/w2v-bert-2.0")
 # audio file is decoded on the fly

 dataset = dataset.sort("id")
 sampling_rate = dataset.features["audio"].sampling_rate
+processor = AutoFeatureExtractor.from_pretrained("facebook/w2v-bert-2.0")
 model = Wav2Vec2BertModel.from_pretrained("facebook/w2v-bert-2.0")
 # audio file is decoded on the fly