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SM0rc
/
GIST-small-Embedding-v0-lightning

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

Instructions to use SM0rc/GIST-small-Embedding-v0-lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SM0rc/GIST-small-Embedding-v0-lightning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="SM0rc/GIST-small-Embedding-v0-lightning")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("SM0rc/GIST-small-Embedding-v0-lightning")
    model = AutoModel.from_pretrained("SM0rc/GIST-small-Embedding-v0-lightning")
  • Notebooks
  • Google Colab
  • Kaggle
GIST-small-Embedding-v0-lightning
134 MB
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  • 1 contributor
History: 3 commits
SM0rc's picture
SM0rc
Upload model
382ac76 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload tokenizer about 2 years ago
  • config.json
    726 Bytes
    Upload model about 2 years ago
  • model.safetensors
    133 MB
    xet
    Upload model about 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago