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dexforint
/
train_result

Object Detection
Transformers
PyTorch
TensorBoard
detr
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use dexforint/train_result with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="dexforint/train_result")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("dexforint/train_result")
    model = AutoModelForObjectDetection.from_pretrained("dexforint/train_result", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
train_result
243 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 194 commits
dexforint's picture
dexforint
Training in progress, step 18600
f8fc209 about 3 years ago
  • runs
    Training in progress, step 18600 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 100 about 3 years ago
  • config.json
    1.32 kB
    Training in progress, step 300 about 3 years ago
  • preprocessor_config.json
    401 Bytes
    Training in progress, step 100 about 3 years ago
  • pytorch_model.bin
    243 MB
    xet
    Training in progress, step 18600 about 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, step 300 about 3 years ago