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Update README.md

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@@ -10,6 +10,7 @@ feature_extractor = WhisperFeatureExtractor.from_pretrained("techintermezzo/whis
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  model = WhisperEncoder.from_pretrained("techintermezzo/whisper-encoder-medium").half()
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  model.eval()
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- input_features = feature_extractor(inputs, sampling_rate=16000, return_tensors="pt").input_features
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- last_hidden_state = model(input_features).last_hidden_state
 
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  ```
 
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  model = WhisperEncoder.from_pretrained("techintermezzo/whisper-encoder-medium").half()
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  model.eval()
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+ with torch.inference_mode():
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+ input_features = feature_extractor(inputs, sampling_rate=16000, return_tensors="pt").input_features
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+ last_hidden_state = model(input_features).last_hidden_state
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  ```