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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5206c1e4bcf76bdf6582af3e83e98c3a0b8236f8f73e9bb88e3a548292f7c7e7
- Size of remote file:
- 378 MB
- SHA256:
- ff5afc2d6459006682d6f3412946fd9b6554765084a9adb6c5b56b798e7ef2ac
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