Instructions to use Mehfooz08/AgriSenAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Mehfooz08/AgriSenAI with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Mehfooz08/AgriSenAI") - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- best_mobilenetv2.h5 +3 -0
- requirements.txt +12 -0
best_mobilenetv2.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4bbd7689dc58a5b5333e88c4f5f0b4be0ac440822ae56f0818e9b318fbe67ba6
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size 13380840
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requirements.txt
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flask
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flask-cors
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tensorflow
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pillow
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numpy
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pandas
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requests
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openmeteo-requests
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requests-cache
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retry-requests
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python-dotenv
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google-genai
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