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odunola
/
bge-768

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

Instructions to use odunola/bge-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use odunola/bge-768 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="odunola/bge-768")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("odunola/bge-768")
    model = AutoModel.from_pretrained("odunola/bge-768")
  • Notebooks
  • Google Colab
  • Kaggle
bge-768
1.34 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
odunola's picture
odunola
Upload tokenizer
b98bf8e over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    742 Bytes
    Upload model over 2 years ago
  • model.safetensors
    1.34 GB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 2 years ago