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imjliao
/
llm-embedder

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

Instructions to use imjliao/llm-embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use imjliao/llm-embedder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="imjliao/llm-embedder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("imjliao/llm-embedder")
    model = AutoModel.from_pretrained("imjliao/llm-embedder")
  • Notebooks
  • Google Colab
  • Kaggle
llm-embedder
547 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Jian
llm-embedder
d515478 over 2 years ago
  • onnx
    llm-embedder over 2 years ago
  • .DS_Store
    6.15 kB
    llm-embedder over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    28 Bytes
    initial commit over 2 years ago
  • config.json
    716 Bytes
    llm-embedder over 2 years ago
  • modules.json
    349 Bytes
    llm-embedder over 2 years ago
  • special_tokens_map.json
    125 Bytes
    llm-embedder over 2 years ago
  • tokenizer.json
    712 kB
    llm-embedder over 2 years ago
  • tokenizer_config.json
    396 Bytes
    llm-embedder over 2 years ago
  • vocab.txt
    232 kB
    llm-embedder over 2 years ago