Instructions to use previdengue/predict_city with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use previdengue/predict_city 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_city") - Notebooks
- Google Colab
- Kaggle
Download model.keras from previdengue/predict_city: direct link, hf CLI and curl.
- Browser
- Download file 4.66 MB
-
https://huggingface.co/previdengue/predict_city/resolve/main/model.keras
- Command line
-
hf download hf://previdengue/predict_city/model.keras
-
curl -L -o model.keras https://huggingface.co/previdengue/predict_city/resolve/main/model.keras
4.66 MB
- Xet hash:
- 98b9076d3edb0bf09aff0646e3ca9707ec29b752f75e07a2aac83dbe5a313c15
- Size of remote file:
- 4.66 MB
- SHA256:
- 26250e718426039dea99ac94f3e3804b455b6e0fb96a7410dbeefc111147d611
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