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:
- 2cf6d786c0a20a5e2e0fb40caf51a185dc5aaa19ecafd55955556929218899a9
- Size of remote file:
- 37.6 MB
- SHA256:
- dae9e67ee047727873c7356c1fad95232819abc3e9714b20f878ebc3175ed36c
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