Audio Classification
Transformers
PyTorch
Safetensors
Japanese
wav2vec2
audio
speech
speech-emotion-recognition
Instructions to use Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition") model = AutoModelForAudioClassification.from_pretrained("Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This is for (private) DEMO only.
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