Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

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, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8")
    model = AutoModelForMultimodalLM.from_pretrained("PIA-SPACE-LAB/Qwen3-VL-Embedding-2B-FP8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-VL-Embedding-2B-FP8 / text_prompt_APOv2.2.1
65 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
jordaniel29's picture
jordaniel29
Upload 11 files
ea88da6 verified 5 months ago
  • fire_pred_prompts
    Upload 11 files 5 months ago
  • smoke_pred_prompts
    Upload 11 files 5 months ago
  • .DS_Store
    10.2 kB
    Upload 11 files 5 months ago
  • prompts.json
    1.22 kB
    Upload 11 files 5 months ago