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RaphaelKalandadze
/
tmp_trainer

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

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

  • Libraries
  • Transformers

    How to use RaphaelKalandadze/tmp_trainer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="RaphaelKalandadze/tmp_trainer")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("RaphaelKalandadze/tmp_trainer")
    model = AutoModelForObjectDetection.from_pretrained("RaphaelKalandadze/tmp_trainer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tmp_trainer
273 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
RaphaelKalandadze's picture
RaphaelKalandadze
Update config.json
247998a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    yolo_test over 3 years ago
  • README.md
    924 Bytes
    Update README.md over 3 years ago
  • config.json
    1.49 kB
    Update config.json over 3 years ago
  • preprocessor_config.json
    273 Bytes
    Create preprocessor_config.json over 3 years ago
  • pytorch_model.bin
    273 MB
    xet
    yolo_test over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    yolo_test over 3 years ago