Instructions to use SynthAIzer/firedetect-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SynthAIzer/firedetect-tf with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("SynthAIzer/firedetect-tf") - Notebooks
- Google Colab
- Kaggle
Download metadata.yaml from SynthAIzer/firedetect-tf: direct link, hf CLI and curl.
- Browser
- Download file 544 Bytes
-
https://huggingface.co/SynthAIzer/firedetect-tf/resolve/main/metadata.yaml
- Command line
-
hf download hf://SynthAIzer/firedetect-tf/metadata.yaml
-
curl -L -o metadata.yaml https://huggingface.co/SynthAIzer/firedetect-tf/resolve/main/metadata.yaml
544 Bytes
| description: Ultralytics YOLO11s model trained on /home/circulus/project/yolo_project/falldetect-11s/datasets/Fire_Detection.v8i.yolov11/data.yaml | |
| author: Ultralytics | |
| date: '2026-09-15T08:59:51.228203+00:00' | |
| version: 8.4.152 | |
| license: AGPL-3.0 License (https://ultralytics.com/license) | |
| docs: https://docs.ultralytics.com | |
| stride: 32 | |
| task: detect | |
| head: Detect | |
| batch: 1 | |
| imgsz: | |
| - 640 | |
| - 640 | |
| names: | |
| 0: Fire | |
| 1: Smoke | |
| args: | |
| data: null | |
| batch: 1 | |
| fraction: 1.0 | |
| quantize: null | |
| nms: null | |
| keras: false | |
| opset: null | |
| channels: 3 | |
| end2end: false | |