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
| { | |
| "vocab_size": 106, | |
| "embedding_dim": 128, | |
| "rnn_units": 512, | |
| "dropout_rate": 0.2, | |
| "seq_length": 100, | |
| "total_chars": 4483812, | |
| "total_params": 1054058 | |
| } |