Instructions to use ConservationDrones/DroneMegaDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConservationDrones/DroneMegaDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ConservationDrones/DroneMegaDetector")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ConservationDrones/DroneMegaDetector") model = AutoModelForObjectDetection.from_pretrained("ConservationDrones/DroneMegaDetector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download example_annotated.jpg from ConservationDrones/DroneMegaDetector: direct link, hf CLI and curl.
- Browser
- Download file 1.3 MB
-
https://huggingface.co/ConservationDrones/DroneMegaDetector/resolve/main/example_annotated.jpg
- Command line
-
hf download hf://ConservationDrones/DroneMegaDetector/example_annotated.jpg
-
curl -L -o example_annotated.jpg https://huggingface.co/ConservationDrones/DroneMegaDetector/resolve/main/example_annotated.jpg
1.3 MB

- Xet hash:
- 02f538375b18b435753852a6d29ca3f622790890a1a4351f14cb9207b140fad9
- Size of remote file:
- 1.3 MB
- SHA256:
- 175adcb569a7ee3ecd58993d2e87159894643b6f42548fca540bec9bccc430cb
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