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

  • Log In
  • Sign Up

chanc031965
/
Tesla_Detection

Image Classification
Transformers
Safetensors
vit
binary-classification
Model card Files Files and versions
xet
Community

Instructions to use chanc031965/Tesla_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chanc031965/Tesla_Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="chanc031965/Tesla_Detection")
    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("chanc031965/Tesla_Detection")
    model = AutoModelForImageClassification.from_pretrained("chanc031965/Tesla_Detection")
  • Notebooks
  • Google Colab
  • Kaggle
Tesla_Detection
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
chanc031965's picture
chanc031965
Update README.md
47551c1 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.56 kB
    Update README.md about 1 month ago
  • config.json
    725 Bytes
    Upload ViTForImageClassification about 2 months ago
  • model.safetensors
    343 MB
    xet
    v2: updated tokenizer about 1 month ago
  • preprocessor_config.json
    364 Bytes
    Upload processor about 2 months ago