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Circularmachines
/
Batch_indexing_machine_ViT

Image Classification
Transformers
google-tensorflow TensorFlow
vit
generated_from_keras_callback
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Circularmachines/Batch_indexing_machine_ViT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Circularmachines/Batch_indexing_machine_ViT")
    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("Circularmachines/Batch_indexing_machine_ViT")
    model = AutoModelForImageClassification.from_pretrained("Circularmachines/Batch_indexing_machine_ViT")
  • Notebooks
  • Google Colab
  • Kaggle
Batch_indexing_machine_ViT
687 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Circularmachines's picture
Circularmachines
Upload weights.h5 with huggingface_hub
92a866d about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.7 kB
    Training in progress epoch 4 about 3 years ago
  • config.json
    656 Bytes
    Training in progress epoch 0 about 3 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress epoch 0 about 3 years ago
  • tf_model.h5
    343 MB
    xet
    Training in progress epoch 4 about 3 years ago
  • weights.h5
    343 MB
    xet
    Upload weights.h5 with huggingface_hub about 3 years ago