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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AbdullahImran/Fire-Detection-Models") - Notebooks
- Google Colab
- Kaggle
Download vgg16_binary_classification_finalized.keras from AbdullahImran/Fire-Detection-Models: direct link, hf CLI and curl.
- Browser
- Download file 116 MB
-
https://huggingface.co/AbdullahImran/Fire-Detection-Models/resolve/main/vgg16_binary_classification_finalized.keras
- Command line
-
hf download hf://AbdullahImran/Fire-Detection-Models/vgg16_binary_classification_finalized.keras
-
curl -L -o vgg16_binary_classification_finalized.keras https://huggingface.co/AbdullahImran/Fire-Detection-Models/resolve/main/vgg16_binary_classification_finalized.keras
116 MB
- Xet hash:
- bc0d1024000d21e3ec7dd0121f7e3c2fa11b86de36a59d6acaeb86d41968ff90
- Size of remote file:
- 116 MB
- SHA256:
- f28a74aa863905a84cfb03e71ab67c44fe1587c571c4464919f97a6781bf2765
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