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adjust README
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README.md
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@@ -78,9 +78,10 @@ The model can be evaluated as follows on the hungarian test data of Common Voice
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```python
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import torch
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from datasets import load_dataset, load_metric
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from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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import re
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LANG_ID = "hu"
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MODEL_ID = "jonatasgrosman/wav2vec2-large-xlsr-53-hungarian"
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@@ -88,7 +89,7 @@ DEVICE = "cuda"
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CHARS_TO_IGNORE = [",", "?", ".", "!", "-", ";", ":", '""', "%", "'", '"', "�", "ʿ", "·", "჻", "¿", "¡", "~", "՞",
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"؟", "،", "।", "॥", "«", "»", "„", "“", "”", "「", "」", "‘", "’", "《", "》", "(", ")", "[", "]",
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"=", "`", "_", "+", "<", ">", "…", "–", "°", "´", "ʾ"
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test_dataset = load_dataset("common_voice", LANG_ID, split="test")
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wer = load_metric("wer")
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```python
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import torch
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import re
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import librosa
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from datasets import load_dataset, load_metric
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from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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LANG_ID = "hu"
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MODEL_ID = "jonatasgrosman/wav2vec2-large-xlsr-53-hungarian"
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CHARS_TO_IGNORE = [",", "?", ".", "!", "-", ";", ":", '""', "%", "'", '"', "�", "ʿ", "·", "჻", "¿", "¡", "~", "՞",
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"؟", "،", "।", "॥", "«", "»", "„", "“", "”", "「", "」", "‘", "’", "《", "》", "(", ")", "[", "]",
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"=", "`", "_", "+", "<", ">", "…", "–", "°", "´", "ʾ"]
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test_dataset = load_dataset("common_voice", LANG_ID, split="test")
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wer = load_metric("wer")
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