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keypa
/
MoonViT-V2-Standalone

Image Feature Extraction
Transformers
English
vision
feature-extraction
moonvit
kimi-k3
Model card Files Files and versions
xet
Community

Instructions to use keypa/MoonViT-V2-Standalone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use keypa/MoonViT-V2-Standalone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="keypa/MoonViT-V2-Standalone")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("keypa/MoonViT-V2-Standalone", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MoonViT-V2-Standalone
895 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
keypa's picture
keypa
Upload modal_pipeline.py with huggingface_hub
3849a0a verified about 21 hours ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    5.29 kB
    Upload README.md with huggingface_hub 9 days ago
  • build_agentic_images.py
    17.3 kB
    Upload build_agentic_images.py with huggingface_hub about 22 hours ago
  • kimi_mm_projector.safetensors
    92.3 MB
    xet
    Upload kimi_mm_projector.safetensors with huggingface_hub 10 days ago
  • modal_pipeline.py
    20.2 kB
    Upload modal_pipeline.py with huggingface_hub about 21 hours ago
  • moonvit.py
    11.6 kB
    Upload moonvit.py with huggingface_hub 6 days ago
  • moonvit_v2.safetensors
    802 MB
    xet
    Upload moonvit_v2.safetensors with huggingface_hub 10 days ago
  • precompute_colab.py
    7.17 kB
    Upload precompute_colab.py with huggingface_hub 8 days ago
  • preprocess.py
    2.34 kB
    Upload preprocess.py with huggingface_hub 9 days ago
  • vision_config.json
    777 Bytes
    Upload vision_config.json with huggingface_hub 10 days ago