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zenlm
/
zen3-embedding-openai

Feature Extraction
Transformers
Safetensors
English
qwen3
text-generation
zen
zenlm
hanzo
zen3
embedding
retrieval
openai-compatible
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use zenlm/zen3-embedding-openai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zenlm/zen3-embedding-openai with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zenlm/zen3-embedding-openai")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("zenlm/zen3-embedding-openai")
    model = AutoModelForCausalLM.from_pretrained("zenlm/zen3-embedding-openai")
  • Notebooks
  • Google Colab
  • Kaggle
zen3-embedding-openai
1.21 GB
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  • 1 contributor
History: 5 commits
zeekay's picture
zeekay
Update model card: add zen/zenlm tags, fix branding
3ec2209 verified 2 months ago
  • 1_Pooling
    Add model weights 3 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    1.42 kB
    Update model card: add zen/zenlm tags, fix branding 2 months ago
  • config.json
    727 Bytes
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  • config_sentence_transformers.json
    215 Bytes
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  • generation_config.json
    117 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    1.19 GB
    xet
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  • modules.json
    349 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    9.71 kB
    Add model weights 3 months ago
  • vocab.json
    2.78 MB
    Add model weights 3 months ago