Instructions to use nithin1729s/kannadaLettersClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nithin1729s/kannadaLettersClassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nithin1729s/kannadaLettersClassification") - Notebooks
- Google Colab
- Kaggle
| """Module contains common constants.""" | |
| INQUIRERPY_KEYBOARD_INTERRUPT: str = "INQUIRERPY_KEYBOARD_INTERRUPT" | |
| INQUIRERPY_POINTER_SEQUENCE: str = "\u276f" | |
| INQUIRERPY_FILL_CIRCLE_SEQUENCE: str = "\u25c9" | |
| INQUIRERPY_EMPTY_CIRCLE_SEQUENCE: str = "\u25cb" | |
| INQUIRERPY_QMARK_SEQUENCE: str = "\u003f" | |