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OhST
/
cppe5_use_data_finetuning

Object Detection
Transformers
PyTorch
detr
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use OhST/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OhST/cppe5_use_data_finetuning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="OhST/cppe5_use_data_finetuning")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("OhST/cppe5_use_data_finetuning")
    model = AutoModelForObjectDetection.from_pretrained("OhST/cppe5_use_data_finetuning")
  • Notebooks
  • Google Colab
  • Kaggle
cppe5_use_data_finetuning
333 MB
Ctrl+K
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  • 1 contributor
History: 65 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
2b3028c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.11 kB
    End of training over 2 years ago
  • config.json
    1.41 kB
    Training in progress, step 200 over 2 years ago
  • model.safetensors
    166 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    401 Bytes
    Training in progress, step 200 over 2 years ago
  • pytorch_model.bin
    167 MB
    xet
    End of training over 2 years ago
  • training_args.bin
    4.54 kB
    xet
    Training in progress, step 200 over 2 years ago