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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("TechInterMezzo/contentvec-500") model = AutoModel.from_pretrained("TechInterMezzo/contentvec-500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from TechInterMezzo/contentvec-500: direct link, hf CLI and curl.
- Browser
- Download file 20 Bytes
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https://huggingface.co/TechInterMezzo/contentvec-500/resolve/main/README.md
- Command line
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hf download hf://TechInterMezzo/contentvec-500/README.md
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curl -L -o README.md https://huggingface.co/TechInterMezzo/contentvec-500/resolve/main/README.md
20 Bytes
metadata
license: mit