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Qdrant
/
gte-large-onnx

Sentence Similarity
Transformers
ONNX
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Qdrant/gte-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Qdrant/gte-large-onnx with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Qdrant/gte-large-onnx")
    model = AutoModel.from_pretrained("Qdrant/gte-large-onnx")
  • Notebooks
  • Google Colab
  • Kaggle
gte-large-onnx
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  • 3 contributors
History: 8 commits
generall93's picture
generall93
Anush008's picture
Anush008
Created Model card (#1)
770e825 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    885 Bytes
    Created Model card (#1) almost 2 years ago
  • config.json
    660 Bytes
    Upload config.json with huggingface_hub over 2 years ago
  • model.onnx
    1.34 GB
    xet
    Upload model.onnx with huggingface_hub over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload special_tokens_map.json with huggingface_hub over 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer.json with huggingface_hub over 2 years ago
  • tokenizer_config.json
    1.41 kB
    Upload tokenizer_config.json with huggingface_hub over 2 years ago
  • vocab.txt
    232 kB
    Upload vocab.txt with huggingface_hub over 2 years ago