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radi-cho
/
cho-embedding-0.8b

Feature Extraction
Transformers
Safetensors
qwen3_5
multimodal embedding
qwen
embedding
distillation
vl
vision-language
vl-embedding
image-text-to-text
sentence-similarity
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use radi-cho/cho-embedding-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use radi-cho/cho-embedding-0.8b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="radi-cho/cho-embedding-0.8b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("radi-cho/cho-embedding-0.8b", trust_remote_code=True)
    model = AutoModel.from_pretrained("radi-cho/cho-embedding-0.8b", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
cho-embedding-0.8b
1.73 GB
Ctrl+K
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  • 1 contributor
History: 11 commits
radi-cho's picture
radi-cho
Update README.md
e857318 verified about 24 hours ago
  • .gitattributes
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  • README.md
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  • chat_template.jinja
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  • config.json
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  • model.safetensors
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  • processor_config.json
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  • qwen35_embedding.py
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  • tokenizer.json
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  • tokenizer_config.json
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