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Ran-Mewo
/
e5-small-v2-quantized

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
ONNX
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Ran-Mewo/e5-small-v2-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ran-Mewo/e5-small-v2-quantized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Ran-Mewo/e5-small-v2-quantized")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Ran-Mewo/e5-small-v2-quantized")
    model = AutoModel.from_pretrained("Ran-Mewo/e5-small-v2-quantized")
  • Notebooks
  • Google Colab
  • Kaggle
e5-small-v2-quantized / 1_Pooling
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  • 1 contributor
History: 1 commit
Ran-Mewo's picture
Ran-Mewo
Initial Commit
8b6ef50 over 2 years ago
  • config.json
    200 Bytes
    Initial Commit over 2 years ago