Instructions to use Talha/urdu-audio-emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Talha/urdu-audio-emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Talha/urdu-audio-emotions")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Talha/urdu-audio-emotions") model = AutoModelForAudioClassification.from_pretrained("Talha/urdu-audio-emotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2c9a644b159556e72fe757d6744477f7a6d2bd23aee820b7f1c2696871af0f0
- Size of remote file:
- 3.06 kB
- SHA256:
- e68de91007b2d6b3554a17ba05114ae0f993ad8ef79ae7db5d9ea85444740eca
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