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Update README.md
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README.md
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Fine-tuned facebook/wav2vec2-large-xlsr-53 on Hindi and Marathi using the OpenSLR SLR64 datasets. When using this model, make sure that your speech input is sampled at 16kHz.
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## Installation
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pip install git+https://github.com/huggingface/transformers.git datasets librosa torch==1.7.0 torchaudio==0.7.0 jiwer
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## Eval dataset:
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```bash
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test = Dataset.from_csv('test.csv')
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chars_to_ignore_regex = '[
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# Preprocessing the datasets.
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# We need to read the audio files as arrays
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import re
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from datasets import load_dataset
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chars_to_ignore_regex = '[
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# Preprocessing the datasets.
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# We need to read the audio files as arrays
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Fine-tuned facebook/wav2vec2-large-xlsr-53 on Hindi and Marathi using the OpenSLR SLR64 datasets. When using this model, make sure that your speech input is sampled at 16kHz.
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## Installation
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```bash
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pip install git+https://github.com/huggingface/transformers.git datasets librosa torch==1.7.0 torchaudio==0.7.0 jiwer
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```
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## Eval dataset:
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```bash
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test = Dataset.from_csv('test.csv')
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chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\।]'
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# Preprocessing the datasets.
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# We need to read the audio files as arrays
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import re
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from datasets import load_dataset
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chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�\\\\।]'
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# Preprocessing the datasets.
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# We need to read the audio files as arrays
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