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ssmits
/
Qwen2-7B-embed-base

Feature Extraction
Transformers
Safetensors
English
qwen2
embeddings
base-model
qwen
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ssmits/Qwen2-7B-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ssmits/Qwen2-7B-embed-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ssmits/Qwen2-7B-embed-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ssmits/Qwen2-7B-embed-base")
    model = AutoModel.from_pretrained("ssmits/Qwen2-7B-embed-base")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2-7B-embed-base
14.2 GB
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  • 2 contributors
History: 18 commits
sjssmits's picture
sjssmits
Delete consolidated.safetensors
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • model-00001-of-00003.safetensors
    4.88 GB
    xet
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  • model-00002-of-00003.safetensors
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    xet
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  • model-00003-of-00003.safetensors
    4.33 GB
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  • model.safetensors.index.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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