Text Ranking
Transformers
English
information-retrieval
reranker
bert
ms-marco
hybrid-retrieval
document-ranking
ltr-bert
semantic-search
elsie
ltr-bert-sir
bi-encoder
passage-ranking
Eval Results (legacy)
Instructions to use s-m-quadri/ltr-bert-sir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-m-quadri/ltr-bert-sir with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("s-m-quadri/ltr-bert-sir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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