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

  • Log In
  • Sign Up

jonglet
/
clasif

Image Classification
Transformers
PyTorch
TensorBoard
vit
Model card Files Files and versions
xet
Metrics Training metrics

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

  • Libraries
  • Transformers

    How to use jonglet/clasif with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="jonglet/clasif")
    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("jonglet/clasif")
    model = AutoModelForImageClassification.from_pretrained("jonglet/clasif")
  • Notebooks
  • Google Colab
  • Kaggle
clasif / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jonglet's picture
jonglet
Training in progress, epoch 1
20db1bf almost 3 years ago
  • Jul02_08-41-56_e8972b936f8a
    Training in progress, epoch 1 almost 3 years ago
  • Jul02_08-43-34_e8972b936f8a
    Training in progress, epoch 1 almost 3 years ago