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ImageIN
/
resnet-50_finetuned

Image Classification
Transformers
PyTorch
Safetensors
resnet
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use ImageIN/resnet-50_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ImageIN/resnet-50_finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="ImageIN/resnet-50_finetuned")
    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("ImageIN/resnet-50_finetuned")
    model = AutoModelForImageClassification.from_pretrained("ImageIN/resnet-50_finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
resnet-50_finetuned
189 MB
Ctrl+K
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  • 2 contributors
History: 14 commits
davanstrien's picture
davanstrien HF Staff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
b92a232 almost 3 years ago
  • .gitattributes
    1.44 kB
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • README.md
    2.37 kB
    update model card README.md over 3 years ago
  • config.json
    630 Bytes
    Training in progress, epoch 1 over 3 years ago
  • model.safetensors
    94.3 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    266 Bytes
    Training in progress, epoch 1 over 3 years ago
  • pytorch_model.bin
    94.4 MB
    xet
    training finished over 3 years ago
  • training_args.bin
    3.38 kB
    xet
    Training in progress, epoch 1 over 3 years ago