Instructions to use clfegg/collaborate_base_recommend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clfegg/collaborate_base_recommend with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CollaborativeRecommender model = CollaborativeRecommender.from_pretrained("clfegg/collaborate_base_recommend", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from clfegg/collaborate_base_recommend: direct link, hf CLI and curl.
- Browser
- Download file 205 MB
-
https://huggingface.co/clfegg/collaborate_base_recommend/resolve/main/model.pkl
- Command line
-
hf download hf://clfegg/collaborate_base_recommend/model.pkl
-
curl -L -o model.pkl https://huggingface.co/clfegg/collaborate_base_recommend/resolve/main/model.pkl
205 MB
- Xet hash:
- 51c75e09cf31b24a9fa80b94e5e84f9bd96c3a43e7c2536609022beff6a82bd1
- Size of remote file:
- 205 MB
- SHA256:
- 64956a2b4e61db1c0d4aa8e3f5c4d000990fa4cbd53c17d2d434ab0fe6f0729e
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