Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

zeroshot
/
gte-small-dense

Feature Extraction
Transformers
ONNX
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use zeroshot/gte-small-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zeroshot/gte-small-dense with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zeroshot/gte-small-dense")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("zeroshot/gte-small-dense")
    model = AutoModel.from_pretrained("zeroshot/gte-small-dense")
  • Notebooks
  • Google Colab
  • Kaggle
gte-small-dense
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
zeroshot's picture
zeroshot
Update README.md
3176d6b over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    862 Bytes
    Update README.md over 2 years ago
  • added_tokens.json
    82 Bytes
    Upload 7 files over 2 years ago
  • config.json
    624 Bytes
    Upload 7 files over 2 years ago
  • model.onnx
    133 MB
    xet
    Upload 7 files over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 7 files over 2 years ago
  • tokenizer.json
    712 kB
    Upload 7 files over 2 years ago
  • tokenizer_config.json
    1.5 kB
    Upload 7 files over 2 years ago
  • vocab.txt
    232 kB
    Upload 7 files over 2 years ago