Instructions to use 7h3cyb3rm0nk/rcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 7h3cyb3rm0nk/rcd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="7h3cyb3rm0nk/rcd")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("7h3cyb3rm0nk/rcd") model = AutoModelForObjectDetection.from_pretrained("7h3cyb3rm0nk/rcd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Fine-tune of 7h3cyb3rm0nk/rcd on dronefreak/RDD2022: 20 epochs, 5000 train / 800 val images
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