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mo-thecreator
/
vit-Facial-Expression-Recognition

Image Classification
Transformers
TensorBoard
Safetensors
vit
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use mo-thecreator/vit-Facial-Expression-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mo-thecreator/vit-Facial-Expression-Recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="mo-thecreator/vit-Facial-Expression-Recognition")
    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("mo-thecreator/vit-Facial-Expression-Recognition")
    model = AutoModelForImageClassification.from_pretrained("mo-thecreator/vit-Facial-Expression-Recognition")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
vit-Facial-Expression-Recognition
344 MB
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  • 1 contributor
History: 61 commits
Mohammed Abdeldayem
Update README.md
5aae4f0 verified almost 2 years ago
  • runs
    End of training almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.89 kB
    Update README.md almost 2 years ago
  • all_results.json
    204 Bytes
    End of training almost 2 years ago
  • config.json
    915 Bytes
    Training in progress, epoch 0 almost 2 years ago
  • eval_results.json
    204 Bytes
    End of training almost 2 years ago
  • model.safetensors
    343 MB
    xet
    Training in progress, step 1500 almost 2 years ago
  • preprocessor_config.json
    325 Bytes
    Training in progress, epoch 0 about 2 years ago
  • train_results.json
    211 Bytes
    End of training almost 2 years ago
  • trainer_state.json
    82.4 kB
    End of training almost 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "torch.device",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.IntervalStrategy",
    • "accelerate.state.PartialState",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "accelerate.utils.dataclasses.DistributedType"

    How to fix it?

    4.28 kB
    xet
    Training in progress, step 500 almost 2 years ago