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MaxP
/
vit-base-riego

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use MaxP/vit-base-riego with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MaxP/vit-base-riego with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="MaxP/vit-base-riego")
    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("MaxP/vit-base-riego")
    model = AutoModelForImageClassification.from_pretrained("MaxP/vit-base-riego")
  • Notebooks
  • Google Colab
  • Kaggle
vit-base-riego
687 MB
Ctrl+K
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  • 2 contributors
History: 54 commits
MaxP's picture
MaxP
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
8ede0d6 almost 3 years ago
  • runs
    Model save about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 100 over 3 years ago
  • README.md
    2.83 kB
    update model card README.md about 3 years ago
  • all_results.json
    207 Bytes
    Training in progress, step 100 about 3 years ago
  • config.json
    769 Bytes
    Training in progress, step 100 about 3 years ago
  • model.safetensors
    343 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    327 Bytes
    Training in progress, step 100 about 3 years ago
  • pytorch_model.bin
    343 MB
    xet
    Model save about 3 years ago
  • train_results.json
    207 Bytes
    Training in progress, step 100 about 3 years ago
  • trainer_state.json
    5.79 kB
    Training in progress, step 100 about 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, step 100 about 3 years ago