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:
# !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_encoder_in_dual") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from martin-ha/text_encoder_in_dual: direct link, hf CLI and curl.
- Browser
- Download file 6.78 MB
-
https://huggingface.co/martin-ha/text_encoder_in_dual/resolve/main/saved_model.pb
- Command line
-
hf download hf://martin-ha/text_encoder_in_dual/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/martin-ha/text_encoder_in_dual/resolve/main/saved_model.pb
6.78 MB
- Xet hash:
- 434bf2c9a837810089195dd5fc2a182700e8752e253080e34cbf10d65ebfa534
- Size of remote file:
- 6.78 MB
- SHA256:
- a658f6d20dccc1dbbe7da26eb163525825dfcd6e4d35cc21ca5049cfd500d916
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