How to use Sag1012/machine-translation 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://Sag1012/machine-translation")
https://huggingface.co/Sag1012/machine-translation/resolve/main/Summarization/tokenizer.json
hf download hf://Sag1012/machine-translation/Summarization/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Sag1012/machine-translation/resolve/main/Summarization/tokenizer.json
