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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("xhd0728/LISRec-MFilter") model = AutoModel.from_pretrained("xhd0728/LISRec-MFilter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from xhd0728/LISRec-MFilter: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/xhd0728/LISRec-MFilter/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://xhd0728/LISRec-MFilter@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/xhd0728/LISRec-MFilter/resolve/refs%2Fpr%2F1/optimizer.pt
1.78 GB
- Xet hash:
- 67a64e767bddfe0723ec83409772e49bf222697ea5224163a5d378fcce8bd318
- Size of remote file:
- 1.78 GB
- SHA256:
- 3ce33a37c1ff366384dfbc1b6726afcb2ec5b5c7931125889066f68a3458d0a1
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