Instructions to use merve/text_image_dual_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use merve/text_image_dual_encoder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://merve/text_image_dual_encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f3e69b73c8a19aec50693f17a1bb32c9cec274eb1709ad425626fc12bbd25b0
- Size of remote file:
- 10.9 MB
- SHA256:
- 45cee569b2c02ccb5674f26afe218a6b750bb32c81846a6e94e6bab18af16695
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