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:
- 5627f07bff0b24eecf88b65490b46a3bad53b5fe59529944fcf1f1997a0410fa
- Size of remote file:
- 378 MB
- SHA256:
- 20f94e206f046f0712fb8aaecdec1e4c62f9d79a8fcd36836d6cc69a457ddbf8
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