Instructions to use SmilingWolf/wd-v1-4-convnextv2-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-convnextv2-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-convnextv2-tagger-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e4b6532c3622b5a7a7fb745af7378e6f38555552d18d9acb2b1b053dd26e9b7
- Size of remote file:
- 6.17 MB
- SHA256:
- e401c95ace99b67ca5e90499fe9d12994ef7aefa0f706081807601cb5f05aa71
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