Instructions to use clfegg/content_based_recommend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clfegg/content_based_recommend with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import ContentBasedRecommender model = ContentBasedRecommender.from_pretrained("clfegg/content_based_recommend", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from clfegg/content_based_recommend: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
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https://huggingface.co/clfegg/content_based_recommend/resolve/main/README.md
- Command line
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hf download hf://clfegg/content_based_recommend/README.md
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curl -L -o README.md https://huggingface.co/clfegg/content_based_recommend/resolve/main/README.md
24 Bytes
| license: mit | |