Instructions to use keras-sd/tfs-text-encoder-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-sd/tfs-text-encoder-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("keras-sd/tfs-text-encoder-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da66de69e9c128fb32e877a5ebd5d5d29505c9ef697f281347bb0e93baf67563
- Size of remote file:
- 10.1 MB
- SHA256:
- e05e5c2c0b820f64e3f3c6dd19cadb8da68d33eb2a5c9fdfe9a88cb402797a9c
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