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
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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). |