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README.md
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@@ -43,7 +43,9 @@ The model was obtained through feature extraction using [facebook/wav2vec2-large
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Although the model was trained on purely English datasets, post-release testing showed that it also performs well in predicting emotions in Chinese and French, demonstrating the powerful cross-linguistic capability of the [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) pre-trained model.
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emotions = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']
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## Intended uses & limitations
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Although the model was trained on purely English datasets, post-release testing showed that it also performs well in predicting emotions in Chinese and French, demonstrating the powerful cross-linguistic capability of the [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) pre-trained model.
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```python
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emotions = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']
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```
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## Intended uses & limitations
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