How to use surrealgrain/keras-textvectorization-lambda-bypass 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://surrealgrain/keras-textvectorization-lambda-bypass")
https://huggingface.co/surrealgrain/keras-textvectorization-lambda-bypass/resolve/main/textvectorization_lambda_bypass.keras
hf download hf://surrealgrain/keras-textvectorization-lambda-bypass/textvectorization_lambda_bypass.keras
curl -L -o textvectorization_lambda_bypass.keras https://huggingface.co/surrealgrain/keras-textvectorization-lambda-bypass/resolve/main/textvectorization_lambda_bypass.keras
