Instructions to use ZhankuiHe/unicrs4rec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZhankuiHe/unicrs4rec with Transformers:
# Load model directly from transformers import UniCRS4RecModule model = UniCRS4RecModule.from_pretrained("ZhankuiHe/unicrs4rec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ZhankuiHe/unicrs4rec: direct link, hf CLI and curl.
- Browser
- Download file 1.09 GB
-
https://huggingface.co/ZhankuiHe/unicrs4rec/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ZhankuiHe/unicrs4rec/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ZhankuiHe/unicrs4rec/resolve/main/pytorch_model.bin
1.09 GB
- Xet hash:
- 0f6a3092d5406d961a2fa61f1a3a61a63c49b4e7573f4e435a8ca5c9792332dd
- Size of remote file:
- 1.09 GB
- SHA256:
- 9b3bea4a6d2973c211b99bc73616608fdb04fd8c34b6d0e26b1016dd48c6b3c3
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