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:
- e54a770db48a78a12d4c71996c2490ff1b24476996da1e0257b4d0a3f1f679f0
- Size of remote file:
- 5.19 MB
- SHA256:
- fe9877408cca2eec4193864fa56c4c0eae6dfd642c8b40a533f0f6dbddd61930
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