Instructions to use TechInterMezzo/contentvec-500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TechInterMezzo/contentvec-500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TechInterMezzo/contentvec-500")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("TechInterMezzo/contentvec-500") model = AutoModel.from_pretrained("TechInterMezzo/contentvec-500") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aad062e5f15a21d24c819ebff58e600049bc3451d09a6042d890b6aed3c3c130
- Size of remote file:
- 189 MB
- SHA256:
- cd3ea2c9290b9e4c5b1fe4eb18628437ab78c05365ca2f2458781e5d853d3530
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