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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

vespa-engine
/
col-minilm

Transformers
PyTorch
ONNX
English
bert
search
ranking
vespa
Model card Files Files and versions
xet
Community
1

Instructions to use vespa-engine/col-minilm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vespa-engine/col-minilm with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, ColBERT
    
    tokenizer = AutoTokenizer.from_pretrained("vespa-engine/col-minilm")
    model = ColBERT.from_pretrained("vespa-engine/col-minilm")
  • Notebooks
  • Google Colab
  • Kaggle
col-minilm / onnx
289 MB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 6 commits
bergum's picture
bergum
Upload model_fp16.onnx
9052780 verified about 2 years ago
  • model.onnx
    165 MB
    xet
    add directory structure compatible with transformers.js over 2 years ago
  • model_fp16.onnx
    82.5 MB
    xet
    Upload model_fp16.onnx about 2 years ago
  • model_quantized.onnx
    41.6 MB
    xet
    add directory structure compatible with transformers.js over 2 years ago