Instructions to use InsightMLfred/wheat-population-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use InsightMLfred/wheat-population-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://InsightMLfred/wheat-population-model") - Notebooks
- Google Colab
- Kaggle
| license: cc-by-nc-4.0 | |
| language: | |
| - en | |
| metrics: | |
| - mse | |
| - mae | |
| pipeline_tag: keypoint-detection | |
| library_name: keras | |
| tags: | |
| - farming | |
| - agriculture | |
| - research | |