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
| { | |
| "tied": true, | |
| "plm_backbone": { | |
| "type": "TASTEModel", | |
| "feature": "last_hidden_state" | |
| }, | |
| "pooling": "first", | |
| "linear_head": false, | |
| "normalize": false | |
| } |