Instructions to use mbien/fma2vec2popularity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbien/fma2vec2popularity with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForAudioClassification processor = AutoProcessor.from_pretrained("mbien/fma2vec2popularity") model = Wav2Vec2ForAudioClassification.from_pretrained("mbien/fma2vec2popularity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from mbien/fma2vec2popularity: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
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https://huggingface.co/mbien/fma2vec2popularity/resolve/main/.gitattributes
- Command line
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hf download hf://mbien/fma2vec2popularity/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/mbien/fma2vec2popularity/resolve/main/.gitattributes
736 Bytes
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