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xiaomoguhzz
/
VisionEncoder

Transformers
Safetensors
vision-encoder
distillation
video-language
siglip2
dinov3
Model card Files Files and versions
xet
Community

Instructions to use xiaomoguhzz/VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xiaomoguhzz/VisionEncoder with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("xiaomoguhzz/VisionEncoder", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
VisionEncoder / vmllm_cached
1.28 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
xiaomoguhzz's picture
xiaomoguhzz
Restructure repo into data/ + legacy/ (batch 8)
2eb765f verified about 1 month ago
  • siglip2_v3
    Restructure repo into data/ + legacy/ (batch 8) about 1 month ago
  • siglip2_v3_4_2
    Add vmllm_cached cached datasets (6.2G, 693 files) about 1 month ago
  • siglip2_v3_4_3
    Add vmllm_cached cached datasets (6.2G, 693 files) about 1 month ago
  • siglip2_v3_4_4
    Add vmllm_cached cached datasets (6.2G, 693 files) about 1 month ago
  • vjepa21
    Add vmllm_cached cached datasets (6.2G, 693 files) about 1 month ago