Instructions to use martin-ha/text_encoder_in_dual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use martin-ha/text_encoder_in_dual with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://martin-ha/text_encoder_in_dual") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6d69f8ff0c428e9637a6074f4fb14f7aa7a143a6c53ec8ad67dfb90b8d7e9e01
- Size of remote file:
- 33 kB
- SHA256:
- 47abff2906c1075d5c356200176b031fb87ee23824cf62a6a605ea3252ff9338
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