tanmaylaud
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Update README.md
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README.md
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@@ -43,8 +43,8 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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# test_data = #TODO: WRITE YOUR CODE TO LOAD THE TEST DATASET. For sample see the Colab link in Training Section.
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processor = Wav2Vec2Processor.from_pretrained("
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model = Wav2Vec2ForCTC.from_pretrained("
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# Preprocessing the datasets.
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# We need to read the audio files as arrays
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@@ -77,11 +77,11 @@ import re
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# test_data = #TODO: WRITE YOUR CODE TO LOAD THE TEST DATASET. For sample see the Colab link in Training Section.
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wer = load_metric("wer")
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processor = Wav2Vec2Processor.from_pretrained("
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model = Wav2Vec2ForCTC.from_pretrained("
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model.to("cuda")
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chars_to_ignore_regex = '[
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# Preprocessing the datasets.
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# test_data = #TODO: WRITE YOUR CODE TO LOAD THE TEST DATASET. For sample see the Colab link in Training Section.
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processor = Wav2Vec2Processor.from_pretrained("tanmaylaud/wav2vec2-large-xlsr-hindi-marathi")
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model = Wav2Vec2ForCTC.from_pretrained("tanmaylaud/wav2vec2-large-xlsr-hindi-marathi")
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# Preprocessing the datasets.
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# We need to read the audio files as arrays
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# test_data = #TODO: WRITE YOUR CODE TO LOAD THE TEST DATASET. For sample see the Colab link in Training Section.
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wer = load_metric("wer")
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processor = Wav2Vec2Processor.from_pretrained("tanmaylaud/wav2vec2-large-xlsr-hindi-marathi")
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model = Wav2Vec2ForCTC.from_pretrained("tanmaylaud/wav2vec2-large-xlsr-hindi-marathi")
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model.to("cuda")
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chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\–\\\\…]'
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# Preprocessing the datasets.
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