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

djovak
/
multi-qa-MiniLM-L6-cos-v1

Feature Extraction
Transformers
bert
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use djovak/multi-qa-MiniLM-L6-cos-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use djovak/multi-qa-MiniLM-L6-cos-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="djovak/multi-qa-MiniLM-L6-cos-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("djovak/multi-qa-MiniLM-L6-cos-v1")
    model = AutoModel.from_pretrained("djovak/multi-qa-MiniLM-L6-cos-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
multi-qa-MiniLM-L6-cos-v1
64.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
djovak's picture
djovak
Update README.md
9489f14 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    62.5 kB
    Update README.md almost 3 years ago
  • config.json
    611 Bytes
    copy model config.json from original model repo almost 3 years ago