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hf-internal-testing
/
tiny-random-SwiftFormerForImageClassification

Image Classification
Transformers
PyTorch
swiftformer
Model card Files Files and versions
xet
Community
6

Instructions to use hf-internal-testing/tiny-random-SwiftFormerForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-SwiftFormerForImageClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-SwiftFormerForImageClassification")
    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("hf-internal-testing/tiny-random-SwiftFormerForImageClassification")
    model = AutoModelForImageClassification.from_pretrained("hf-internal-testing/tiny-random-SwiftFormerForImageClassification")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#6 opened about 2 years ago by
SFconvertbot

Update tiny models for SwiftFormerForImageClassification

#5 opened almost 3 years ago by
hf-transformers-bot

Update tiny models for SwiftFormerForImageClassification

#4 opened almost 3 years ago by
hf-transformers-bot

Update tiny models for SwiftFormerForImageClassification

#3 opened almost 3 years ago by
hf-transformers-bot

Update tiny models for SwiftFormerForImageClassification

#2 opened about 3 years ago by
hf-transformers-bot

Update tiny models for SwiftFormerForImageClassification

#1 opened about 3 years ago by
hf-transformers-bot
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