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kaya-go
/
moku-v2

Object Detection
Transformers
ONNX
Safetensors
rt_detr
Model card Files Files and versions
xet
Community

Instructions to use kaya-go/moku-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kaya-go/moku-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="kaya-go/moku-v2")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("kaya-go/moku-v2")
    model = AutoModelForObjectDetection.from_pretrained("kaya-go/moku-v2")
  • Notebooks
  • Google Colab
  • Kaggle
moku-v2
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
hadim's picture
hadim
feat: add ONNX export (opset 18, dynamic batch)
28376c9 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
    Upload RTDetrForObjectDetection 4 months ago
  • config.json
    2.51 kB
    Upload RTDetrForObjectDetection 4 months ago
  • model.onnx
    80.8 MB
    xet
    feat: add ONNX export (opset 18, dynamic batch) 4 months ago
  • model.safetensors
    80.5 MB
    xet
    Upload RTDetrForObjectDetection 4 months ago
  • preprocessor_config.json
    444 Bytes
    Upload processor 4 months ago