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facebook
/
convnext-large-384

Image Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
convnext
vision
Model card Files Files and versions
xet
Community
1

Instructions to use facebook/convnext-large-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/convnext-large-384 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="facebook/convnext-large-384")
    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("facebook/convnext-large-384")
    model = AutoModelForImageClassification.from_pretrained("facebook/convnext-large-384")
  • Notebooks
  • Google Colab
  • Kaggle
convnext-large-384
2.37 GB
Ctrl+K
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  • 4 contributors
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b168921 over 2 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model over 2 years ago
  • README.md
    3.08 kB
    Create README.md about 4 years ago
  • config.json
    69.6 kB
    Add TF weights; Add image_size to config about 4 years ago
  • model.safetensors
    791 MB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • preprocessor_config.json
    265 Bytes
    Add feature extractor over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    791 MB
    xet
    Add model over 4 years ago
  • tf_model.h5
    791 MB
    xet
    Add TF weights; Add image_size to config about 4 years ago