Instructions to use drgou/deployathome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use drgou/deployathome with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://drgou/deployathome") - Notebooks
- Google Colab
- Kaggle
| library_name: keras | |
| This model has been uploaded using the Keras library and can be used with JAX, | |
| TensorFlow, and PyTorch backends. | |
| This model card has been generated automatically and should be completed by the | |
| model author. | |
| See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for | |
| more information. | |
| For more details about the model architecture, check out | |
| [config.json](./config.json). |