Instructions to use Ismailalshofi/char-based-language-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ismailalshofi/char-based-language-model 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://Ismailalshofi/char-based-language-model") - Notebooks
- Google Colab
- Kaggle
Download model.keras from Ismailalshofi/char-based-language-model: direct link, hf CLI and curl.
- Browser
- Download file 12.7 MB
-
https://huggingface.co/Ismailalshofi/char-based-language-model/resolve/main/model.keras
- Command line
-
hf download hf://Ismailalshofi/char-based-language-model/model.keras
-
curl -L -o model.keras https://huggingface.co/Ismailalshofi/char-based-language-model/resolve/main/model.keras
12.7 MB
- Xet hash:
- 1a4ac5775a053f9076dadf248bc524980d14ebcf90099bc30b8b25f67b2e31f0
- Size of remote file:
- 12.7 MB
- SHA256:
- ca64bba5d6405e167a41c16c5b59a338e5dc5af8f63ab60c308e304d32e8b28c
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