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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://danhtran2mind/En2Vi-Translation-Transformer-TensorFlow") - Notebooks
- Google Colab
- Kaggle
Rename saved_models/en_vi_translation.keras to ckpts/en_vi_translation.keras
Browse files
.gitattributes
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@@ -38,3 +38,4 @@ dataset/train/train.vi filter=lfs diff=lfs merge=lfs -text
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dataset_convert/train/train.en filter=lfs diff=lfs merge=lfs -text
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dataset_convert/train/train.vi filter=lfs diff=lfs merge=lfs -text
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saved_models/en_vi_translation.keras filter=lfs diff=lfs merge=lfs -text
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dataset_convert/train/train.en filter=lfs diff=lfs merge=lfs -text
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dataset_convert/train/train.vi filter=lfs diff=lfs merge=lfs -text
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saved_models/en_vi_translation.keras filter=lfs diff=lfs merge=lfs -text
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ckpts/en_vi_translation.keras filter=lfs diff=lfs merge=lfs -text
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{saved_models → ckpts}/en_vi_translation.keras
RENAMED
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File without changes
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