Instructions to use Sag1012/machine-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
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") - Notebooks
- Google Colab
- Kaggle
Update BiLSTM -- ver 2
#13
by Minh-Nguyen01 - opened
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- BiLSTM_2/english_tokenizer.pkl +3 -0
- BiLSTM_2/my_model_1.keras +3 -0
- BiLSTM_2/vietnamese_tokenizer.pkl +3 -0
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