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hugoiabd
/
modelitoiabd

Image Classification
Transformers
PyTorch
vit
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use hugoiabd/modelitoiabd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hugoiabd/modelitoiabd")
    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("hugoiabd/modelitoiabd")
    model = AutoModelForImageClassification.from_pretrained("hugoiabd/modelitoiabd")
  • Notebooks
  • Google Colab
  • Kaggle
modelitoiabd
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  • 2 contributors
History: 4 commits
hugobcanovas
Añadido el fichero README.md
c77e203 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    87 Bytes
    Añadido el fichero README.md about 2 years ago
  • authors.txt
    11 Bytes
    Create authors.txt about 2 years ago
  • config.json
    743 Bytes
    Primera version about 2 years ago
  • preprocessor_config.json
    228 Bytes
    Primera version about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    343 MB
    xet
    Primera version about 2 years ago