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
File size: 159 Bytes
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license: cc-by-nc-4.0
language:
- en
metrics:
- mse
- mae
pipeline_tag: keypoint-detection
library_name: keras
tags:
- farming
- agriculture
- research
--- |