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Neo111x
/
ais-anomaly-vit-v2

Image Classification
Transformers
Safetensors
vit
vision-transformer
maritime
ais
anomaly-detection
vessel-monitoring
geospatial-ai
remote-sensing
maritime-security
transportation
Model card Files Files and versions
xet
Community

Instructions to use Neo111x/ais-anomaly-vit-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Neo111x/ais-anomaly-vit-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Neo111x/ais-anomaly-vit-v2")
    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("Neo111x/ais-anomaly-vit-v2")
    model = AutoModelForImageClassification.from_pretrained("Neo111x/ais-anomaly-vit-v2")
  • Notebooks
  • Google Colab
  • Kaggle
ais-anomaly-vit-v2
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Neo111x's picture
Neo111x
Update README.md
f0edb59 verified 21 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    4.7 kB
    Update README.md 21 days ago
  • config.json
    745 Bytes
    Upload ViTForImageClassification about 1 month ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification about 1 month ago
  • preprocessor_config.json
    351 Bytes
    Upload processor about 1 month ago