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:
- 5971f77a89d353fd3eead5fefa4f3565c3d672984f953af8390246d737041ea5
- Size of remote file:
- 892 MB
- SHA256:
- 2eb01f07a8e4d17cea70fb54be105e0e7343d5c30584308bcadd10946bb37615
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