Instructions to use superflash41/fire-chad-detector-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use superflash41/fire-chad-detector-v1.0 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://superflash41/fire-chad-detector-v1.0") - Notebooks
- Google Colab
- Kaggle
Download xception_final.keras from superflash41/fire-chad-detector-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 122 MB
-
https://huggingface.co/superflash41/fire-chad-detector-v1.0/resolve/main/xception_final.keras
- Command line
-
hf download hf://superflash41/fire-chad-detector-v1.0/xception_final.keras
-
curl -L -o xception_final.keras https://huggingface.co/superflash41/fire-chad-detector-v1.0/resolve/main/xception_final.keras
122 MB
- Xet hash:
- a65cd91de9968400bc1a86706a98d0bbe1b5c021931296e862f27c0404d929a0
- Size of remote file:
- 122 MB
- SHA256:
- 174bb349810d995eac9b3dc53beba9badc5108003f66b9b0a6161ec0ef4b6aa0
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