Text Retrieval
Transformers
PyTorch
English
t5
recommendation
sequential-recommendation
text-generation-inference
Instructions to use xhd0728/LISRec-MFilter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xhd0728/LISRec-MFilter with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("xhd0728/LISRec-MFilter") model = AutoModel.from_pretrained("xhd0728/LISRec-MFilter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3359e31e89ee386ba643b0cdccd728cf6cb112c56d25bdeb055287d4a4954d8
- Size of remote file:
- 3.64 kB
- SHA256:
- fd5f5d1e87e3a596c9e6881b3b17f0a2713b8e43f96444ec059bc29f01172209
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