Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

holyspark
/
Moto_Classification_v2

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

Instructions to use holyspark/Moto_Classification_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use holyspark/Moto_Classification_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="holyspark/Moto_Classification_v2")
    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("holyspark/Moto_Classification_v2")
    model = AutoModelForImageClassification.from_pretrained("holyspark/Moto_Classification_v2")
  • Notebooks
  • Google Colab
  • Kaggle
Moto_Classification_v2
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
holyspark's picture
holyspark
commit files to HF hub
e35e1e6 almost 2 years ago
  • images
    commit files to HF hub almost 2 years ago
  • runs
    commit files to HF hub almost 2 years ago
  • .gitattributes
    1.81 kB
    commit files to HF hub almost 2 years ago
  • README.md
    940 Bytes
    commit files to HF hub almost 2 years ago
  • config.json
    891 Bytes
    commit files to HF hub almost 2 years ago
  • model.safetensors
    343 MB
    xet
    commit files to HF hub almost 2 years ago
  • preprocessor_config.json
    580 Bytes
    commit files to HF hub almost 2 years ago