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Transformers123
/
testing_101

Transformers
PyTorch
segformer
Model card Files Files and versions
xet
Community

Instructions to use Transformers123/testing_101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Transformers123/testing_101 with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("Transformers123/testing_101")
    model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/testing_101")
  • Notebooks
  • Google Colab
  • Kaggle
testing_101
110 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Transformers123's picture
Transformers123
Upload SegformerForSemanticSegmentation
bcacf8e almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.1 kB
    Upload SegformerForSemanticSegmentation almost 3 years ago
  • preprocessor_config.json
    420 Bytes
    Upload processor almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    110 MB
    xet
    Upload SegformerForSemanticSegmentation almost 3 years ago