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NTQAI
/
pedestrian_age_recognition

Image Classification
Transformers
PyTorch
Safetensors
beit
vision
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use NTQAI/pedestrian_age_recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="NTQAI/pedestrian_age_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("NTQAI/pedestrian_age_recognition")
    model = AutoModelForImageClassification.from_pretrained("NTQAI/pedestrian_age_recognition")
  • Notebooks
  • Google Colab
  • Kaggle
pedestrian_age_recognition
694 MB
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  • 3 contributors
History: 5 commits
nhanv's picture
nhanv
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
3d6c6dd almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.43 kB
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  • all_results.json
    351 Bytes
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  • config.json
    1.45 kB
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  • emissions.csv
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  • eval_results.json
    205 Bytes
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  • model.safetensors
    347 MB
    xet
    Adding `safetensors` variant of this model (#2) almost 3 years ago
  • preprocessor_config.json
    302 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    347 MB
    xet
    upload over 3 years ago
  • train_results.json
    167 Bytes
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  • trainer_state.json
    247 kB
    upload over 3 years ago