Instructions to use harshit345/xlsr-wav2vec-speech-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harshit345/xlsr-wav2vec-speech-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="harshit345/xlsr-wav2vec-speech-emotion-recognition")# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("harshit345/xlsr-wav2vec-speech-emotion-recognition") model = Wav2Vec2ForSpeechClassification.from_pretrained("harshit345/xlsr-wav2vec-speech-emotion-recognition") - Notebooks
- Google Colab
- Kaggle
Ctrl+K