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

Rodion
/
sbert_uno_sustainable_development_goals

Feature Extraction
Transformers
PyTorch
mpnet
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Rodion/sbert_uno_sustainable_development_goals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rodion/sbert_uno_sustainable_development_goals with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Rodion/sbert_uno_sustainable_development_goals")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Rodion/sbert_uno_sustainable_development_goals")
    model = AutoModel.from_pretrained("Rodion/sbert_uno_sustainable_development_goals")
  • Notebooks
  • Google Colab
  • Kaggle
sbert_uno_sustainable_development_goals / 1_Pooling
190 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Rodion's picture
Rodion
intial commit
55cc9f2 about 4 years ago
  • config.json
    190 Bytes
    intial commit about 4 years ago