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shomez
/
blink-biencoder-mention-encoder

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

Instructions to use shomez/blink-biencoder-mention-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shomez/blink-biencoder-mention-encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="shomez/blink-biencoder-mention-encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("shomez/blink-biencoder-mention-encoder")
    model = AutoModel.from_pretrained("shomez/blink-biencoder-mention-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
blink-biencoder-mention-encoder
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  • 1 contributor
History: 9 commits
shomez's picture
shomez
Upload model.onnx with huggingface_hub
75f3de3 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
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  • config.json
    680 Bytes
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  • model.onnx
    1.34 GB
    xet
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  • model.safetensors
    1.34 GB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.19 kB
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  • vocab.txt
    232 kB
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