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:
- 0372eff6fd8ee2d334f378f74be9eb87c3265f012c623174b8d8723fb6b28ab7
- Size of remote file:
- 448 kB
- SHA256:
- f48bd1aa100ea3db529c42658dc2b5505befef0182035d7d7617e1b0ee7b9feb
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