Instructions to use rishab1090/potato with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use rishab1090/potato with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://rishab1090/potato") - Notebooks
- Google Colab
- Kaggle
| services: | |
| - type: web | |
| name: leaf-disease-api | |
| env: python | |
| pythonVersion: 3.10.13 | |
| buildCommand: pip install -r requirements.txt | |
| startCommand: uvicorn backend:app --host=0.0.0.0 --port=10000 |