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 xception_tri_classification_finalized.keras from AbdullahImran/Fire-Severity-Models: direct link, hf CLI and curl.
- Browser
- Download file 166 MB
-
https://huggingface.co/AbdullahImran/Fire-Severity-Models/resolve/main/xception_tri_classification_finalized.keras
- Command line
-
hf download hf://AbdullahImran/Fire-Severity-Models/xception_tri_classification_finalized.keras
-
curl -L -o xception_tri_classification_finalized.keras https://huggingface.co/AbdullahImran/Fire-Severity-Models/resolve/main/xception_tri_classification_finalized.keras
166 MB
- Xet hash:
- d74b6640d396bfdc630236053727912bddc81dadf93612793b9474dc0b13f9c7
- Size of remote file:
- 166 MB
- SHA256:
- 7299f7ca7191f1662a8b0d7bcc804985458a53c6d63e6be1ca2a16353cf806c6
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