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DeepLearner101
/
ImageNetSubsetForFineTuningBasedModel

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

Instructions to use DeepLearner101/ImageNetSubsetForFineTuningBasedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DeepLearner101/ImageNetSubsetForFineTuningBasedModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="DeepLearner101/ImageNetSubsetForFineTuningBasedModel")
    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("DeepLearner101/ImageNetSubsetForFineTuningBasedModel")
    model = AutoModelForImageClassification.from_pretrained("DeepLearner101/ImageNetSubsetForFineTuningBasedModel")
  • Notebooks
  • Google Colab
  • Kaggle
ImageNetSubsetForFineTuningBasedModel
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  • 1 contributor
History: 7 commits
DeepLearner101's picture
DeepLearner101
Upload hyperparameters_tuning_results.csv with huggingface_hub
0e335b0 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • best_hyperparameters.json
    4 Bytes
    Upload best_hyperparameters.json with huggingface_hub over 2 years ago
  • hyperparameters_tuning_results.csv
    697 Bytes
    Upload hyperparameters_tuning_results.csv with huggingface_hub over 2 years ago