Instructions to use vgoradia/PyroSight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use vgoradia/PyroSight 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://vgoradia/PyroSight") - Notebooks
- Google Colab
- Kaggle
Download pyrosight_model.keras from vgoradia/PyroSight: direct link, hf CLI and curl.
- Browser
- Download file 81.8 MB
-
https://huggingface.co/vgoradia/PyroSight/resolve/main/pyrosight_model.keras
- Command line
-
hf download hf://vgoradia/PyroSight/pyrosight_model.keras
-
curl -L -o pyrosight_model.keras https://huggingface.co/vgoradia/PyroSight/resolve/main/pyrosight_model.keras
81.8 MB
- Xet hash:
- dd7f5bf8fe55b48b5853b5672018261f20d0a87effcd452d886044ade0319171
- Size of remote file:
- 81.8 MB
- SHA256:
- 05b7f44d79282db932632405a8b6b49e2e3d0359920d9b17608b72a361e6289e
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