Instructions to use mbien/fma2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbien/fma2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mbien/fma2vec")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("mbien/fma2vec") model = AutoModel.from_pretrained("mbien/fma2vec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from mbien/fma2vec: direct link, hf CLI and curl.
- Browser
- Download file 790 Bytes
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https://huggingface.co/mbien/fma2vec/resolve/main/.gitattributes
- Command line
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hf download hf://mbien/fma2vec/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/mbien/fma2vec/resolve/main/.gitattributes
790 Bytes
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