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wav2vec2-large-xlsr-_irish

Automatic Speech Recognition
Transformers
PyTorch
JAX
Irish
wav2vec2
audio
speech
xlsr-fine-tuning-week
hf-asr-leaderboard
Eval Results
Inference Endpoints
Model card Files Community
patrickvonplaten commited on
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1 Parent(s): c748b0c

Update README.md

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  1. README.md +5 -5
README.md CHANGED
@@ -34,8 +34,8 @@ import torchaudio
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  from datasets import load_dataset
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  from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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  test_dataset = load_dataset("common_voice", "ga-IE", split="test[:2%]").
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- processor = Wav2Vec2Processor.from_pretrained("manandey/wav2vec2-large-xlsr-irish")
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- model = Wav2Vec2ForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-irish")
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  # Preprocessing the datasets.
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  # We need to read the aduio files as arrays
@@ -61,10 +61,10 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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  import re
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  test_dataset = load_dataset("common_voice", "ga-IE", split="test")
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  wer = load_metric("wer")
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- processor = Wav2Vec2Processor.from_pretrained("manandey/wav2vec2-large-xlsr-irish")
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- model = Wav2Vec2ForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-irish")
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  model.to("cuda")
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- chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\β€œ\%\β€˜\”\οΏ½\’\–\(\)]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  # Preprocessing the datasets.
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  # We need to read the aduio files as arrays
 
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  from datasets import load_dataset
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  from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
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  test_dataset = load_dataset("common_voice", "ga-IE", split="test[:2%]").
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+ processor = Wav2Vec2Processor.from_pretrained("manandey/wav2vec2-large-xlsr-_irish")
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+ model = Wav2Vec2ForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-_irish")
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  # Preprocessing the datasets.
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  # We need to read the aduio files as arrays
 
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  import re
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  test_dataset = load_dataset("common_voice", "ga-IE", split="test")
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  wer = load_metric("wer")
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+ processor = Wav2Vec2Processor.from_pretrained("manandey/wav2vec2-large-xlsr-_irish")
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+ model = Wav2Vec2ForCTC.from_pretrained("manandey/wav2vec2-large-xlsr-_irish")
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  model.to("cuda")
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+ chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\β€œ\\%\\β€˜\\”\\οΏ½\\’\\–\\(\\)]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  # Preprocessing the datasets.
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  # We need to read the aduio files as arrays