Alikhan Urumov
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Update README.md
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README.md
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-
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results: []
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widget:
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- src: https://cdn-media.huggingface.co/speech_samples/common_voice_ru_18849022.mp3
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-
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#
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модель для распознания аудио. результаты модели можно потом прогнать через мою сеть исправления текстов UrukHan/t5-russian-spell
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#
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```python
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from transformers import AutoModelForCTC, Wav2Vec2Processor
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model = AutoModelForCTC.from_pretrained("UrukHan/wav2vec2-
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processor = Wav2Vec2Processor.from_pretrained("UrukHan/wav2vec2-
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def map_to_result(batch):
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with torch.no_grad():
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input_values = torch.tensor(batch["input_values"]).unsqueeze(0) #, device="cuda"
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-ru
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results: []
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widget:
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- src: https://cdn-media.huggingface.co/speech_samples/common_voice_ru_18849022.mp3
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-ru
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#
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модель для распознания аудио. результаты модели можно потом прогнать через мою сеть исправления текстов UrukHan/t5-russian-spell
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#
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```python
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from transformers import AutoModelForCTC, Wav2Vec2Processor
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model = AutoModelForCTC.from_pretrained("UrukHan/wav2vec2-ru")
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processor = Wav2Vec2Processor.from_pretrained("UrukHan/wav2vec2-ru")
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def map_to_result(batch):
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with torch.no_grad():
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input_values = torch.tensor(batch["input_values"]).unsqueeze(0) #, device="cuda"
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