indonesian-nlp
/

wav2vec2-large-xlsr-indonesian

Automatic Speech Recognition Transformers PyTorch JAX

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

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Galuh commited on Mar 29, 2021

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fab5852

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1 Parent(s): a8b7a4c

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@@ -11,7 +11,7 @@ tags:
 - xlsr-fine-tuning-week
 license: apache-2.0
 model-index:
-- name: XLSR Wav2Vec2 Indonesian by Galuh
   results:
   - task:
       name: Speech Recognition
@@ -43,8 +43,8 @@ from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 test_dataset = load_dataset("common_voice", "id", split="test[:2%]")
-processor = Wav2Vec2Processor.from_pretrained("Galuh/wav2vec2-large-xlsr-indonesian")
-model = Wav2Vec2ForCTC.from_pretrained("Galuh/wav2vec2-large-xlsr-indonesian")
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
@@ -86,7 +86,7 @@ processor = Wav2Vec2Processor.from_pretrained("indonesian-nlp/wav2vec2-large-xls
 model = Wav2Vec2ForCTC.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline")
 model.to("cuda")
-chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)

 - xlsr-fine-tuning-week
 license: apache-2.0
 model-index:
+- name: XLSR Wav2Vec2 Indonesian by Indonesian NLP
   results:
   - task:
       name: Speech Recognition
 test_dataset = load_dataset("common_voice", "id", split="test[:2%]")
+processor = Wav2Vec2Processor.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian")
+model = Wav2Vec2ForCTC.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian")
 resampler = torchaudio.transforms.Resample(48_000, 16_000)
 model = Wav2Vec2ForCTC.from_pretrained("indonesian-nlp/wav2vec2-large-xlsr-indonesian-baseline")
 model.to("cuda")
+chars_to_ignore_regex = '[\\\\,\\\\?\\\\.\\\\!\\\\-\\\\;\\\\:\\\\"\\\\“]'
 resampler = torchaudio.transforms.Resample(48_000, 16_000)