Instructions to use Cloud110702/EcoMendMachineLearning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Cloud110702/EcoMendMachineLearning 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://Cloud110702/EcoMendMachineLearning") - Notebooks
- Google Colab
- Kaggle
Download Image_classify.keras from Cloud110702/EcoMendMachineLearning: direct link, hf CLI and curl.
- Browser
- Download file 11.6 MB
-
https://huggingface.co/Cloud110702/EcoMendMachineLearning/resolve/main/Image_classify.keras
- Command line
-
hf download hf://Cloud110702/EcoMendMachineLearning/Image_classify.keras
-
curl -L -o Image_classify.keras https://huggingface.co/Cloud110702/EcoMendMachineLearning/resolve/main/Image_classify.keras
11.6 MB
- Xet hash:
- 63f669aeb2808e744b85f60e2a53a13ac61e850046f7629f8c3ae273e44c7108
- Size of remote file:
- 11.6 MB
- SHA256:
- 5dc762a4e7e6c040f55e2d0c34b74ae05b30d73b046469c2d5a58e403d1f0b12
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