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Upload wav2vec_aligen.py
Browse files- wav2vec_aligen.py +5 -5
wav2vec_aligen.py
CHANGED
@@ -3,19 +3,19 @@ import librosa
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import os
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from model import Wav2Vec2BertForSequenceClassification
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from transformers import AutoFeatureExtractor
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from optimum.bettertransformer import BetterTransformer
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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os.environ['PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION'] = 'python'
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os.environ['TRANSFORMERS_NO_ADVISORY_WARNINGS'] = '1'
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os.environ['TRANSFORMERS_VERBOSITY'] = 'error'
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torch.random.manual_seed(0);
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# protobuf==3.20.0
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model_name = "arslanarjumand/wav2vec-reptiles"
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processor = AutoFeatureExtractor.from_pretrained(model_name)
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model = Wav2Vec2BertForSequenceClassification.from_pretrained(model_name).to(device)
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model = BetterTransformer.transform(model)
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def load_audio(audio_path, processor):
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audio, sr = librosa.load(audio_path, sr=16000)
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import os
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from model import Wav2Vec2BertForSequenceClassification
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from transformers import AutoFeatureExtractor
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# from optimum.bettertransformer import BetterTransformer
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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# os.environ['PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION'] = 'python'
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# os.environ['TRANSFORMERS_NO_ADVISORY_WARNINGS'] = '1'
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# os.environ['TRANSFORMERS_VERBOSITY'] = 'error'
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torch.random.manual_seed(0);
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# protobuf==3.20.0
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model_name = "arslanarjumand/wav2vec-reptiles"
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processor = AutoFeatureExtractor.from_pretrained(model_name)
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model = Wav2Vec2BertForSequenceClassification.from_pretrained(model_name).to(device)
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# model = BetterTransformer.transform(model)
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def load_audio(audio_path, processor):
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audio, sr = librosa.load(audio_path, sr=16000)
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