Image Classification
Keras
tensorflow
computer-vision
fire-detection
wildfire-detection
binary-classification
transfer-learning
Instructions to use AbdullahImran/Fire-Detection-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AbdullahImran/Fire-Detection-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-Detection-Models") - Notebooks
- Google Colab
- Kaggle
Download efficientnetb0_binary_classification.keras from AbdullahImran/Fire-Detection-Models: direct link, hf CLI and curl.
- Browser
- Download file 19 MB
-
https://huggingface.co/AbdullahImran/Fire-Detection-Models/resolve/main/efficientnetb0_binary_classification.keras
- Command line
-
hf download hf://AbdullahImran/Fire-Detection-Models/efficientnetb0_binary_classification.keras
-
curl -L -o efficientnetb0_binary_classification.keras https://huggingface.co/AbdullahImran/Fire-Detection-Models/resolve/main/efficientnetb0_binary_classification.keras
19 MB
- Xet hash:
- 3187524139c177c3463b386a23d6f1135b0a1d03131c89eca4a7b658f3517208
- Size of remote file:
- 19 MB
- SHA256:
- 3fc48303e087e785d8caeb462b0b7128d7c5fa0d207f82535872897c5635f791
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