Instructions to use shrusti333/language_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shrusti333/language_translation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://shrusti333/language_translation") - Notebooks
- Google Colab
- Kaggle
Set `library_name` to `tf-keras`.
#1
by Wauplin HF Staff - opened
README.md
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@@ -3,8 +3,8 @@ datasets:
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- shrusti333/konkani_translation
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: translation
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---
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- shrusti333/konkani_translation
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language:
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- en
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library_name: tf-keras
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metrics:
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- accuracy
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pipeline_tag: translation
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---
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