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PIA-SPACE-LAB
/
Qwen3-VL-Embedding-2B-FP8

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

Instructions to use PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8")
    model = AutoModelForImageTextToText.from_pretrained("PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-VL-Embedding-2B-FP8
2.86 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
jordaniel29's picture
jordaniel29
Upload VLE_FP8_text_features.json
6f152d7 verified 17 days ago
  • text_prompt_APOv2.1
    Upload 5 files about 1 month ago
  • text_prompt_APOv2.2.1
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  • text_prompt_APOv2
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  • .gitattributes
    1.57 kB
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  • README.md
    3.15 kB
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  • VLE_FP8_text_features.json
    501 kB
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  • added_tokens.json
    707 Bytes
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  • chat_template.jinja
    5.52 kB
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  • config.json
    7.5 kB
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  • generation_config.json
    143 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    2.85 GB
    xet
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  • preprocessor_config.json
    783 Bytes
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  • recipe.yaml
    160 Bytes
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.4 kB
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  • video_preprocessor_config.json
    817 Bytes
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  • vocab.json
    2.78 MB
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