Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

s-m-quadri
/
ltr-bert-sir

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)
Model card Files Files and versions
xet
Community

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
ltr-bert-sir / inference /__pycache__
13.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
s-m-quadri's picture
s-m-quadri
Upload folder using huggingface_hub
b901054 verified 22 days ago
  • __init__.cpython-312.pyc
    585 Bytes
    Upload folder using huggingface_hub 22 days ago
  • load.cpython-312.pyc
    5.15 kB
    Upload folder using huggingface_hub 22 days ago
  • model.cpython-312.pyc
    7.41 kB
    Upload folder using huggingface_hub 22 days ago