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facebook
/
convnext-base-384

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="facebook/convnext-base-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-base-384")
    model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-384")
  • Notebooks
  • Google Colab
  • Kaggle
convnext-base-384
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  • 2 contributors
History: 7 commits
nielsr's picture
nielsr HF Staff
Update README.md
cce36a3 almost 3 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.06 kB
    Update README.md almost 3 years ago
  • config.json
    69.6 kB
    Add TF weights; Add image_size to config about 4 years ago
  • preprocessor_config.json
    265 Bytes
    Add feature extractor over 4 years ago
  • pytorch_model.bin
    354 MB
    xet
    Add model over 4 years ago
  • tf_model.h5
    355 MB
    xet
    Add TF weights; Add image_size to config about 4 years ago