How to use tanganke/clip-vit-base-patch32_emnist_letters 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://tanganke/clip-vit-base-patch32_emnist_letters")
· Sign up or log in to comment
