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Hyper-AI
/
Qwen3-VL-Embedding-8B-fp8

Feature Extraction
Transformers
Safetensors
qwen3_vl
image-text-to-text
multimodal embedding
qwen
embedding
fp8
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use Hyper-AI/Qwen3-VL-Embedding-8B-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hyper-AI/Qwen3-VL-Embedding-8B-fp8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Hyper-AI/Qwen3-VL-Embedding-8B-fp8")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Hyper-AI/Qwen3-VL-Embedding-8B-fp8")
    model = AutoModelForMultimodalLM.from_pretrained("Hyper-AI/Qwen3-VL-Embedding-8B-fp8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-VL-Embedding-8B-fp8
9.36 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
Hyper-AI's picture
Hyper-AI
Update README.md
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  • chat_template.jinja
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  • config.json
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  • merges.txt
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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  • model.safetensors.index.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • video_preprocessor_config.json
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  • vocab.json
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