Instructions to use Obai33/ArabicPoetModelLSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Obai33/ArabicPoetModelLSTM 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://Obai33/ArabicPoetModelLSTM") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Obai33/ArabicPoetModelLSTM: direct link, hf CLI and curl.
- Browser
- Download file 72 Bytes
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https://huggingface.co/Obai33/ArabicPoetModelLSTM/resolve/main/README.md
- Command line
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hf download hf://Obai33/ArabicPoetModelLSTM/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Obai33/ArabicPoetModelLSTM/resolve/main/README.md
72 Bytes
| language: | |
| - ar | |
| library_name: keras | |
| pipeline_tag: text-generation | |