Audio Classification
Transformers
Safetensors
audio-spectrogram-transformer
speech-emotion-recognition
yoruba
code-switching
multilingual
ssast
nigeria
Eval Results (legacy)
Instructions to use LyngualLabs/YORENG100-SSAST-Emotion-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LyngualLabs/YORENG100-SSAST-Emotion-Recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="LyngualLabs/YORENG100-SSAST-Emotion-Recognition")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("LyngualLabs/YORENG100-SSAST-Emotion-Recognition") model = AutoModelForAudioClassification.from_pretrained("LyngualLabs/YORENG100-SSAST-Emotion-Recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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