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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
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
nesanchezo's picture
nesanchezo
update model card README.md
6e7e3ad about 3 years ago
  • runs
    Primer prueba con un data set no tan grande! πŸ€— about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Model save about 3 years ago
  • README.md
    1.23 kB
    update model card README.md about 3 years ago
  • all_results.json
    389 Bytes
    Primer prueba con un data set no tan grande! πŸ€— about 3 years ago
  • config.json
    987 Bytes
    Model save about 3 years ago
  • eval_results.json
    201 Bytes
    Primer prueba con un data set no tan grande! πŸ€— about 3 years ago
  • preprocessor_config.json
    378 Bytes
    Model save about 3 years ago
  • pytorch_model.bin
    343 MB
    xet
    Model save about 3 years ago
  • train_results.json
    208 Bytes
    Primer prueba con un data set no tan grande! πŸ€— about 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Model save about 3 years ago