Instructions to use martin-ha/text_image_dual_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use martin-ha/text_image_dual_encoder with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://martin-ha/text_image_dual_encoder") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from martin-ha/text_image_dual_encoder: direct link, hf CLI and curl.
- Browser
- Download file 10.9 MB
-
https://huggingface.co/martin-ha/text_image_dual_encoder/resolve/main/saved_model.pb
- Command line
-
hf download hf://martin-ha/text_image_dual_encoder/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/martin-ha/text_image_dual_encoder/resolve/main/saved_model.pb
10.9 MB
- Xet hash:
- a41d20f523ed996ccfbb8af5d9c0c1573d85f07ea88be28b205f971074514cbb
- Size of remote file:
- 10.9 MB
- SHA256:
- c3846e02084ff1da7b2d906cf5a7ef8a41bcbc894252c85245be5fdcc1344b03
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