Instructions to use keras-io/multimodal-entailment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/multimodal-entailment 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-io/multimodal-entailment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a484aa057cfae213c621ddc146b383056c87c902264f3886706cd159297ab3c7
- Size of remote file:
- 839 kB
- SHA256:
- e8bc7af616292ce9da1906bf2e9d0791305a3949af760bfeb657108eaa1cfce4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.