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:
# !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://shrusti333/language_translation") - Notebooks
- Google Colab
- Kaggle
Download translation_interface.ipynb from shrusti333/language_translation: direct link, hf CLI and curl.
- Browser
- Download file 6.8 kB
-
https://huggingface.co/shrusti333/language_translation/resolve/main/translation_interface.ipynb
- Command line
-
hf download hf://shrusti333/language_translation/translation_interface.ipynb
-
curl -L -o translation_interface.ipynb https://huggingface.co/shrusti333/language_translation/resolve/main/translation_interface.ipynb
6.8 kB