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hmrizal
/
emotion_classification

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

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

  • Libraries
  • Transformers

    How to use hmrizal/emotion_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="hmrizal/emotion_classification")
    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("hmrizal/emotion_classification")
    model = AutoModelForImageClassification.from_pretrained("hmrizal/emotion_classification")
  • Notebooks
  • Google Colab
  • Kaggle
emotion_classification
344 MB
Ctrl+K
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  • 1 contributor
History: 591 commits
hmrizal's picture
hmrizal
Update README.md
b243bbe verified almost 2 years ago
  • runs
    Training in progress, epoch 10 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.65 kB
    Update README.md almost 2 years ago
  • config.json
    957 Bytes
    Training in progress, epoch 1 almost 2 years ago
  • model.safetensors
    343 MB
    xet
    Training in progress, epoch 10 almost 2 years ago
  • preprocessor_config.json
    578 Bytes
    Training in progress, epoch 1 almost 2 years ago
  • training_args.bin
    5.18 kB
    xet
    Training in progress, epoch 1 almost 2 years ago