Instructions to use amgadhasan/arabic-image-captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use amgadhasan/arabic-image-captioner 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("amgadhasan/arabic-image-captioner") - Notebooks
- Google Colab
- Kaggle
Download model/decoder/saved_model.pb from amgadhasan/arabic-image-captioner: direct link, hf CLI and curl.
- Browser
- Download file 815 kB
-
https://huggingface.co/amgadhasan/arabic-image-captioner/resolve/main/model/decoder/saved_model.pb
- Command line
-
hf download hf://amgadhasan/arabic-image-captioner/model/decoder/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/amgadhasan/arabic-image-captioner/resolve/main/model/decoder/saved_model.pb
815 kB
- Xet hash:
- d6f96b7d7d4c4f2f24741f1d72f64616c5f82d14acd993c45d8cec333ab86096
- Size of remote file:
- 815 kB
- SHA256:
- 06a59924ab529ecbcce4ea9a50eb18706613305dd8b071fc3de1fd988d50827e
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