Instructions to use danhtran2mind/En2Vi-Translation-Transformer-TensorFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use danhtran2mind/En2Vi-Translation-Transformer-TensorFlow 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://danhtran2mind/En2Vi-Translation-Transformer-TensorFlow") - Notebooks
- Google Colab
- Kaggle
Commit History
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Rename saved_models/backup_weights/training_metadata.json to ckpts/backup_weights/training_metadata.json
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Rename saved_models/ckpts/latest.weights.h5 to ckpts/backup_weights/latest.weights.h5
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Rename saved_models/en_vi_translation.keras to ckpts/en_vi_translation.keras
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