Instructions to use padmalcom/wav2vec2-large-emotion-detection-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use padmalcom/wav2vec2-large-emotion-detection-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="padmalcom/wav2vec2-large-emotion-detection-german")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("padmalcom/wav2vec2-large-emotion-detection-german") model = Wav2Vec2ForSpeechClassification.from_pretrained("padmalcom/wav2vec2-large-emotion-detection-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download test.wav from padmalcom/wav2vec2-large-emotion-detection-german: direct link, hf CLI and curl.
- Browser
- Download file 60.1 kB
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https://huggingface.co/padmalcom/wav2vec2-large-emotion-detection-german/resolve/488f080f34cc9d4c9cb5a3e71d06784b0a6f5780/test.wav
- Command line
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hf download hf://padmalcom/wav2vec2-large-emotion-detection-german@488f080f34cc9d4c9cb5a3e71d06784b0a6f5780/test.wav
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curl -L -o test.wav https://huggingface.co/padmalcom/wav2vec2-large-emotion-detection-german/resolve/488f080f34cc9d4c9cb5a3e71d06784b0a6f5780/test.wav
60.1 kB