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README.md
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@@ -58,6 +58,20 @@ predictions = asr_classifier.classify_file("audio_file.wav", device)
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print(predictions)
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```
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## Training
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To fine-tune this model, you need to run:
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print(predictions)
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```
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## Docker
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A Docker image for the model with a Gradio web interface is available here: https://hub.docker.com/repository/docker/porjaz/buki-wav2vec2-2.0/general
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To run the container with GPU, first pull the image:
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```
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docker pull porjaz/buki-wav2vec2-2.0
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```
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Then, run the container:
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```
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docker run -v models:/docker_wav2vec2_gradio_app/models -it --gpus all -p 7860:7860 porjaz/buki-wav2vec2-2.0
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```
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## Training
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To fine-tune this model, you need to run:
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