Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

NTQAI
/
pedestrian_gender_recognition

Image Classification
Transformers
PyTorch
ONNX
Safetensors
beit
vision
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use NTQAI/pedestrian_gender_recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="NTQAI/pedestrian_gender_recognition")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("NTQAI/pedestrian_gender_recognition")
    model = AutoModelForImageClassification.from_pretrained("NTQAI/pedestrian_gender_recognition", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
pedestrian_gender_recognition
694 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 11 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
46c391c over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • README.md
    2.33 kB
    Update README.md over 3 years ago
  • all_results.json
    350 Bytes
    update almost 4 years ago
  • config.json
    1.3 kB
    update almost 4 years ago
  • emissions.csv
    297 Bytes
    update almost 4 years ago
  • eval_results.json
    205 Bytes
    update almost 4 years ago
  • model.safetensors
    347 MB
    xet
    Adding `safetensors` variant of this model over 3 years ago
  • preprocessor_config.json
    302 Bytes
    update almost 4 years ago
  • pytorch_model.bin
    347 MB
    xet
    update almost 4 years ago
  • train_results.json
    165 Bytes
    update almost 4 years ago
  • trainer_state.json
    117 kB
    update almost 4 years ago
  • training_args.bin
    3.38 kB
    xet
    update almost 4 years ago