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

  • Log In
  • Sign Up

peft-internal-testing
/
tiny-random-ResNetForImageClassification

Image Classification
Transformers
Safetensors
resnet
Model card Files Files and versions
xet
Community

Instructions to use peft-internal-testing/tiny-random-ResNetForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use peft-internal-testing/tiny-random-ResNetForImageClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="peft-internal-testing/tiny-random-ResNetForImageClassification")
    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("peft-internal-testing/tiny-random-ResNetForImageClassification")
    model = AutoModelForImageClassification.from_pretrained("peft-internal-testing/tiny-random-ResNetForImageClassification")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-ResNetForImageClassification
92.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
BenjaminB's picture
BenjaminB HF Staff
Upload processor
155c83b verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
    Upload ResNetForImageClassification 6 months ago
  • config.json
    808 Bytes
    Upload ResNetForImageClassification 6 months ago
  • model.safetensors
    84.9 kB
    xet
    Upload ResNetForImageClassification 6 months ago
  • preprocessor_config.json
    352 Bytes
    Upload processor 6 months ago