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
Download config.json from clfegg/content_based_recommend: direct link, hf CLI and curl.
- Browser
- Download file 79 Bytes
-
https://huggingface.co/clfegg/content_based_recommend/resolve/main/config.json
- Command line
-
hf download hf://clfegg/content_based_recommend/config.json
-
curl -L -o config.json https://huggingface.co/clfegg/content_based_recommend/resolve/main/config.json
79 Bytes
| { | |
| "model_type": "custom", | |
| "architectures": ["ContentBasedRecommender"] | |
| } |