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Abhiram4
/
SwinMark2

Image Classification
Transformers
PyTorch
swinv2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use Abhiram4/SwinMark2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Abhiram4/SwinMark2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Abhiram4/SwinMark2")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("Abhiram4/SwinMark2")
    model = AutoModelForImageClassification.from_pretrained("Abhiram4/SwinMark2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SwinMark2
110 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Abhiram4's picture
Abhiram4
Upload swinv2.ipynb
2e73fba over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.94 kB
    Model save almost 3 years ago
  • all_results.json
    394 Bytes
    End of training almost 3 years ago
  • config.json
    1.03 kB
    Training in progress, epoch 0 almost 3 years ago
  • eval_results.json
    203 Bytes
    End of training almost 3 years ago
  • preprocessor_config.json
    337 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • pytorch_model.bin
    110 MB
    xet
    Training in progress, epoch 2 almost 3 years ago
  • swinv2.ipynb
    21.4 kB
    Upload swinv2.ipynb over 2 years ago
  • train_results.json
    211 Bytes
    End of training almost 3 years ago
  • trainer_state.json
    9.72 kB
    End of training almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, epoch 0 almost 3 years ago