Instructions to use RamiEbeid/hubert-base-ser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamiEbeid/hubert-base-ser with Transformers:
# Load model directly from transformers import AutoProcessor, HubertForSpeechClassification processor = AutoProcessor.from_pretrained("RamiEbeid/hubert-base-ser") model = HubertForSpeechClassification.from_pretrained("RamiEbeid/hubert-base-ser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# hubert-base-ser
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.0105
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- Accuracy: 0.6313
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# hubert-base-ser
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the Crema dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0105
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- Accuracy: 0.6313
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