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

  • Log In
  • Sign Up

qipchip31
/
electronic-components-model

Image Classification
Transformers
Safetensors
English
vit
electronics
sciences
components
Model card Files Files and versions
xet
Community
1

Instructions to use qipchip31/electronic-components-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qipchip31/electronic-components-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="qipchip31/electronic-components-model")
    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("qipchip31/electronic-components-model")
    model = AutoModelForImageClassification.from_pretrained("qipchip31/electronic-components-model")
  • Notebooks
  • Google Colab
  • Kaggle
electronic-components-model
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
qipchip31's picture
qipchip31
Update README.md
3da2f1c verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.85 kB
    Update README.md almost 2 years ago
  • config.json
    803 Bytes
    Upload ViTForImageClassification almost 2 years ago
  • model.safetensors
    343 MB
    xet
    Upload ViTForImageClassification almost 2 years ago