Instructions to use elpogzz/CLIP-ja-text-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use elpogzz/CLIP-ja-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("elpogzz/CLIP-ja-text-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d17c7c323cbb4bc165768b34625d80b79e6509213ec1a7ce45e01bfae388ad6c
- Size of remote file:
- 146 kB
- SHA256:
- 9872cd02ff3fc86f7173a2274011420507db6af15859873950a119e2be24f4c2
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