Instructions to use tokhey/ViT-caption-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use tokhey/ViT-caption-model with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("tokhey/ViT-caption-model") - Notebooks
- Google Colab
- Kaggle
Download model/saved_model.pb from tokhey/ViT-caption-model: direct link, hf CLI and curl.
- Browser
- Download file 4.38 MB
-
https://huggingface.co/tokhey/ViT-caption-model/resolve/main/model/saved_model.pb
- Command line
-
hf download hf://tokhey/ViT-caption-model/model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/tokhey/ViT-caption-model/resolve/main/model/saved_model.pb
4.38 MB
- Xet hash:
- 520347e9fbbef38ba3bec4c50d7395147356e05b30b57d97e2a7e7ca9eec444b
- Size of remote file:
- 4.38 MB
- SHA256:
- 7557d17131ba63437b36a7e9a122edf6231c2691049f4e4214dfac9904ab5f13
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