Instructions to use SmilingWolf/wd-v1-4-swinv2-tagger-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SmilingWolf/wd-v1-4-swinv2-tagger-v2 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SmilingWolf/wd-v1-4-swinv2-tagger-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3d5a50487b1c06bb6150e607698f2ea4921c2f0a0091b751a48bace241989b1
- Size of remote file:
- 406 MB
- SHA256:
- c08431fe95c5ce2d0cdfd16e42e78763799f620c09ad51d16c141ffd67083d9c
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