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") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/Mar11_15-53-59_cb56b016eade/events.out.tfevents.1647014059.cb56b016eade.80.2
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