Instructions to use makhataei/Wav2vec2-xlsr-Shemo-Ravdess with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use makhataei/Wav2vec2-xlsr-Shemo-Ravdess with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("makhataei/Wav2vec2-xlsr-Shemo-Ravdess") model = Wav2Vec2ForSpeechClassification.from_pretrained("makhataei/Wav2vec2-xlsr-Shemo-Ravdess") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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license: apache-2.0
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tags:
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- Speech
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- generated_from_trainer
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metrics:
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- accuracy
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---
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license: apache-2.0
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tags:
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- Speech-Emotion-Recognition
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- generated_from_trainer
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metrics:
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- accuracy
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