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siddheshtv
/
BlockNet10

Image Classification
Transformers
English
custom_model
custom
cifar-10
block-architecture
Model card Files Files and versions
xet
Community

Instructions to use siddheshtv/BlockNet10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use siddheshtv/BlockNet10 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="siddheshtv/BlockNet10")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import BlockNet10
    model = BlockNet10.from_pretrained("siddheshtv/BlockNet10", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BlockNet10 / figures
11.7 kB
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  • 2 contributors
History: 1 commit
siddheshtv
readme citation url change
1db42e4 about 2 years ago
  • eq1.png
    6.8 kB
    readme citation url change about 2 years ago
  • fig1.png
    4.9 kB
    readme citation url change about 2 years ago