Instructions to use JohnNvula/Kilunga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use JohnNvula/Kilunga with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("JohnNvula/Kilunga") - Notebooks
- Google Colab
- Kaggle
| title: Leaf-level properties viewer | |
| emoji: 🌍 | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| duplicated_from: posit/shiny-for-python-template | |
| This is a templated Space for [Shiny for Python](https://shiny.rstudio.com/py/). | |
| To get started with a new app do the following: | |
| 1) Install Shiny with `pip install shiny` | |
| 2) Create a new app with `shiny create .` | |
| 3) Then run the app with `shiny run --reload` | |
| To learn more about this framework please see the [Documentation](https://shiny.rstudio.com/py/docs/overview.html). |