PereLluis13
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wav2vec2-large-xlsr-53-greek

Automatic Speech Recognition Transformers PyTorch JAX

Greek wav2vec2 audio speech xlsr-fine-tuning-week Eval Results Inference Endpoints

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PereLluis13 commited on Mar 24, 2021

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@@ -80,14 +80,15 @@ from datasets import load_dataset, load_metric
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 import re
-test_dataset = load_dataset("common_voice", "el", split="test") #TODO: replace {lang_id} in your language code here. Make sure the code is one of the *ISO codes* of [this](https://huggingface.co/languages) site.
 wer = load_metric("wer")
 processor = Wav2Vec2Processor.from_pretrained("PereLluis13/wav2vec2-large-xlsr-53-greek")
 model = Wav2Vec2ForCTC.from_pretrained("PereLluis13/wav2vec2-large-xlsr-53-greek")
 model.to("cuda")
-chars_to_ignore_regex = '[\\\\\\\\,\\\\\\\\?\\\\\\\\.\\\\\\\\!\\\\\\\\-\\\\\\\\;\\\\\\\\:\\\\\\\\"\\\\\\\\“\\\\\\\\%\\\\\\\\'\\\\\\\\�]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)

 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 import re
+test_dataset = load_dataset("common_voice", "el", split="test")
 wer = load_metric("wer")
 processor = Wav2Vec2Processor.from_pretrained("PereLluis13/wav2vec2-large-xlsr-53-greek")
 model = Wav2Vec2ForCTC.from_pretrained("PereLluis13/wav2vec2-large-xlsr-53-greek")
 model.to("cuda")
+chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“\\\\%\\\\‘\\\\”\\\\�]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)