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
File size: 79 Bytes
507db35 | 1 2 3 4 | {
"model_type": "custom",
"architectures": ["ContentBasedRecommender"]
} |