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