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nesanchezo
/
model_prueba

Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use nesanchezo/model_prueba with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="nesanchezo/model_prueba")
    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("nesanchezo/model_prueba")
    model = AutoModelForImageClassification.from_pretrained("nesanchezo/model_prueba", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model_prueba / runs
5.13 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
nesanchezo's picture
nesanchezo
Primer prueba con un data set no tan grande! ๐Ÿค—
e01a09b about 3 years ago
  • Jul06_16-51-22_MacBook-Air-de-Laura.local
    Primer prueba con un data set no tan grande! ๐Ÿค— about 3 years ago