Instructions to use keras-sd/tfs-text-encoder-base64 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-base64 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-base64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a0b38f11f552ea8d3887b3b4ef6db375c54b0faea3921cb3bd77a41aca65ef9
- Size of remote file:
- 56 Bytes
- SHA256:
- cd7c260c5f81d72a459497fb37af8f1c301e72e716614723138711a123bb9f7c
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