Image Classification
Keras
tensorflow
computer-vision
fire-detection
fire-severity
severity-classification
multi-class-classification
transfer-learning
Instructions to use AbdullahImran/Fire-Severity-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AbdullahImran/Fire-Severity-Models 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-Severity-Models") - Notebooks
- Google Colab
- Kaggle
Download efficientnetb0_tri_classification.keras from AbdullahImran/Fire-Severity-Models: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/AbdullahImran/Fire-Severity-Models/resolve/main/efficientnetb0_tri_classification.keras
- Command line
-
hf download hf://AbdullahImran/Fire-Severity-Models/efficientnetb0_tri_classification.keras
-
curl -L -o efficientnetb0_tri_classification.keras https://huggingface.co/AbdullahImran/Fire-Severity-Models/resolve/main/efficientnetb0_tri_classification.keras
17.1 MB
- Xet hash:
- 6632996f3e7278e5d538701894e134f22b0a6a84f5e0551088651c1e7872bec4
- Size of remote file:
- 17.1 MB
- SHA256:
- bd8d99fe6506b7c504cc2cc5fb7caaca13e55c2869d651f6b37164293b0311cc
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