Audio Classification
Transformers
Safetensors
Russian
whisper
SER
speech
emotion
Eval Results (legacy)
Instructions to use waveletdeboshir/whisper-base-ser-dusha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waveletdeboshir/whisper-base-ser-dusha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="waveletdeboshir/whisper-base-ser-dusha")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("waveletdeboshir/whisper-base-ser-dusha") model = AutoModelForAudioClassification.from_pretrained("waveletdeboshir/whisper-base-ser-dusha") - Notebooks
- Google Colab
- Kaggle
Ctrl+K