Instructions to use Ismail99/char-based-language-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ismail99/char-based-language-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Ismail99/char-based-language-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a4ac5775a053f9076dadf248bc524980d14ebcf90099bc30b8b25f67b2e31f0
- Size of remote file:
- 12.7 MB
- SHA256:
- ca64bba5d6405e167a41c16c5b59a338e5dc5af8f63ab60c308e304d32e8b28c
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