Instructions to use HichTala/diffusiondet-dota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HichTala/diffusiondet-dota with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="HichTala/diffusiondet-dota", trust_remote_code=True)# Load model directly from transformers import AutoModelForObjectDetection model = AutoModelForObjectDetection.from_pretrained("HichTala/diffusiondet-dota", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018d7747516a19fa2910b30eedc99eb5dffb02b13bcd92e74ca5441432b7fe29
- Size of remote file:
- 443 MB
- SHA256:
- e517fed9e7068145013593fed1b44f53526265d171c484d525571a38dbd251dc
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