Instructions to use previdengue/predict_state with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use previdengue/predict_state 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://previdengue/predict_state") - Notebooks
- Google Colab
- Kaggle
Download model_state.keras from previdengue/predict_state: direct link, hf CLI and curl.
- Browser
- Download file 2.53 MB
-
https://huggingface.co/previdengue/predict_state/resolve/main/model_state.keras
- Command line
-
hf download hf://previdengue/predict_state/model_state.keras
-
curl -L -o model_state.keras https://huggingface.co/previdengue/predict_state/resolve/main/model_state.keras
2.53 MB
- Xet hash:
- 2a7187e02b45d8d04bb3ab7c2fe53936ce81050186e284db88e0ba30fdc692b5
- Size of remote file:
- 2.53 MB
- SHA256:
- ce46ac2a58f241e5ceaae51a4a9a5abc772018213860ef977989288f94f7f410
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