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
Upload best_model_1312.h5
Browse files
lstm_attention/best_model_1312.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:33e880c36f9e0191769812d8de94dc5b1777c8051de3044feddb86e9a29bbd89
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size 1300165328
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