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zen-E
/
bert-mini-sentence-distil-supervised

Feature Extraction
Transformers
PyTorch
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use zen-E/bert-mini-sentence-distil-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zen-E/bert-mini-sentence-distil-supervised with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zen-E/bert-mini-sentence-distil-supervised")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("zen-E/bert-mini-sentence-distil-supervised")
    model = AutoModel.from_pretrained("zen-E/bert-mini-sentence-distil-supervised")
  • Notebooks
  • Google Colab
  • Kaggle
bert-mini-sentence-distil-supervised
45.7 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
zen-E's picture
zen-E
Create README.md
6721647 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.42 kB
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  • config.json
    648 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    44.7 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    394 Bytes
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  • vocab.txt
    232 kB
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