Instructions to use keras-sd/tfs-text-encoder 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 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce404bd4041876f74a8b8c7e0cd24678ba20dbce9acd2c5a6af185ce7d3c3e6c
- Size of remote file:
- 5.18 MB
- SHA256:
- ab87c6477ae9d65c6a970d5f6190d6b4de022349cb12e3a1d2b664a56e10895c
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