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Update README.md

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@@ -85,18 +85,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
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- ### Запуск через докерфайл
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- docker build -t my_audio_classification_model .
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- docker run -p 8000:8000 my_audio_classification_model
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-
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- ### Запуск через API
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- # Use a pipeline as a high-level helper
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- from transformers import pipeline
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-
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- pipe = pipeline("audio-classification", model="aliciayrvn/distilhubert-finetuned-gtzan")
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- # Load model directly
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- from transformers import AutoProcessor, AutoModelForAudioClassification
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-
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- processor = AutoProcessor.from_pretrained("aliciayrvn/distilhubert-finetuned-gtzan")
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- model = AutoModelForAudioClassification.from_pretrained("aliciayrvn/distilhubert-finetuned-gtzan")
 
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2