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ClovenDoug
/
tiny_64_all-MiniLM-L6-v2

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

Instructions to use ClovenDoug/tiny_64_all-MiniLM-L6-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ClovenDoug/tiny_64_all-MiniLM-L6-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ClovenDoug/tiny_64_all-MiniLM-L6-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ClovenDoug/tiny_64_all-MiniLM-L6-v2")
    model = AutoModel.from_pretrained("ClovenDoug/tiny_64_all-MiniLM-L6-v2")
  • Notebooks
  • Google Colab
  • Kaggle
tiny_64_all-MiniLM-L6-v2
91.9 MB
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  • 1 contributor
History: 4 commits
ClovenDoug's picture
ClovenDoug
Update README.md
f5974fa verified over 2 years ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
    90.9 MB
    xet
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
    232 kB
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