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AmineAllo
/
MT-magic-puddle-87

Object Detection
Transformers
PyTorch
table-transformer
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use AmineAllo/MT-magic-puddle-87 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AmineAllo/MT-magic-puddle-87 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="AmineAllo/MT-magic-puddle-87")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("AmineAllo/MT-magic-puddle-87")
    model = AutoModelForObjectDetection.from_pretrained("AmineAllo/MT-magic-puddle-87", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MT-magic-puddle-87
115 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 35 commits
Amine
MT-magic-puddle-87
a9bc510 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    4.88 kB
    MT-magic-puddle-87 almost 3 years ago
  • config.json
    1.3 kB
    Training in progress, step 50 almost 3 years ago
  • preprocessor_config.json
    400 Bytes
    Training in progress, step 50 almost 3 years ago
  • pytorch_model.bin
    115 MB
    xet
    MT-magic-puddle-87 almost 3 years ago
  • training_args.bin
    4.47 kB
    xet
    Training in progress, step 50 almost 3 years ago