cahya
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wav2vec2-large-xlsr-turkish-artificial

Automatic Speech Recognition

xlsr-fine-tuning-week

Inference Endpoints

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cahya commited on Apr 23, 2021

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1f19c49

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1 Parent(s): f35760b

udpated the link to the model

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README.md +4 -4

README.md CHANGED Viewed

@@ -42,8 +42,8 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 test_dataset = load_dataset("common_voice", "tr", split="test[:2%]")
-processor = Wav2Vec2Processor.from_pretrained("cahya-wirawan/wav2vec2-large-xlsr-turkish-artificial")
-model = Wav2Vec2ForCTC.from_pretrained("cahya-wirawan/wav2vec2-large-xlsr-turkish-artificial")
 # Preprocessing the datasets.
@@ -81,8 +81,8 @@ import re
 test_dataset = load_dataset("common_voice", "tr", split="test")
 wer = load_metric("wer")
-processor = Wav2Vec2Processor.from_pretrained("cahya-wirawan/wav2vec2-large-xlsr-turkish-artificial")
-model = Wav2Vec2ForCTC.from_pretrained("cahya-wirawan/wav2vec2-large-xlsr-turkish-artificial")
 model.to("cuda")
 chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\‘\”\'\`…\’»«]'

 test_dataset = load_dataset("common_voice", "tr", split="test[:2%]")
+processor = Wav2Vec2Processor.from_pretrained("cahya/wav2vec2-large-xlsr-turkish-artificial")
+model = Wav2Vec2ForCTC.from_pretrained("cahya/wav2vec2-large-xlsr-turkish-artificial")
 # Preprocessing the datasets.
 test_dataset = load_dataset("common_voice", "tr", split="test")
 wer = load_metric("wer")
+processor = Wav2Vec2Processor.from_pretrained("cahya/wav2vec2-large-xlsr-turkish-artificial")
+model = Wav2Vec2ForCTC.from_pretrained("cahya/wav2vec2-large-xlsr-turkish-artificial")
 model.to("cuda")
 chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\‘\”\'\`…\’»«]'