Instructions to use madha98/Text_Generation_RNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use madha98/Text_Generation_RNN 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://madha98/Text_Generation_RNN") - Notebooks
- Google Colab
- Kaggle
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license: mit
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datasets:
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library_name: keras
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pipeline_tag: text-generation
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# Automatic Text Generation Using SimpleRNN
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license: mit
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datasets:
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- madha98/Shakespeare
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library_name: keras
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pipeline_tag: text-generation
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language:
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- en
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# Automatic Text Generation Using SimpleRNN
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