Feature Extraction
Keras
tensorflow
deep-learning
dimensionality-reduction
clustering
computer-vision
fire-detection
fire-severity
Instructions to use AbdullahImran/Fire-Feature-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AbdullahImran/Fire-Feature-Analysis 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://AbdullahImran/Fire-Feature-Analysis") - Notebooks
- Google Colab
- Kaggle
Download autoencoder_model_dimention_reduction.keras from AbdullahImran/Fire-Feature-Analysis: direct link, hf CLI and curl.
- Browser
- Download file 520 MB
-
https://huggingface.co/AbdullahImran/Fire-Feature-Analysis/resolve/main/autoencoder_model_dimention_reduction.keras
- Command line
-
hf download hf://AbdullahImran/Fire-Feature-Analysis/autoencoder_model_dimention_reduction.keras
-
curl -L -o autoencoder_model_dimention_reduction.keras https://huggingface.co/AbdullahImran/Fire-Feature-Analysis/resolve/main/autoencoder_model_dimention_reduction.keras
520 MB
- Xet hash:
- 1197746a28ba80af8f7e521cf33878f004500c742763be2d10637bdda3a8e5a1
- Size of remote file:
- 520 MB
- SHA256:
- 1431394248405006eb6d8a4a7ee5543df46306722d98077afa90638e54e6a06d
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