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

  • Log In
  • Sign Up

abletobetable
/
image_feature_extractor

Image Classification
Transformers
PyTorch
beit
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use abletobetable/image_feature_extractor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="abletobetable/image_feature_extractor")
    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("abletobetable/image_feature_extractor")
    model = AutoModelForImageClassification.from_pretrained("abletobetable/image_feature_extractor")
  • Notebooks
  • Google Colab
  • Kaggle
image_feature_extractor
Ctrl+K
Ctrl+K
  • 1 contributor
History: 27 commits
abletobetable's picture
abletobetable
Create README.md
bea18c6 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 about 3 years ago
  • README.md
    141 Bytes
    Create README.md about 3 years ago
  • config.json
    34 kB
    Training in progress, step 1000 about 3 years ago
  • preprocessor_config.json
    492 Bytes
    Training in progress, step 1000 about 3 years ago
  • pytorch_model.bin
    350 MB
    xet
    final weights about 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.OptimizerNames",
    • "torch.device",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.training_args.TrainingArguments"

    How to fix it?

    3.52 kB
    xet
    Training in progress, step 1000 about 3 years ago