Instructions to use ssamperr/detr_v2_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssamperr/detr_v2_20 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="ssamperr/detr_v2_20")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("ssamperr/detr_v2_20") model = AutoModelForObjectDetection.from_pretrained("ssamperr/detr_v2_20", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e152eda0814fc7dc823c062ae68cfbd38123335de34dac0bb1dd75c31d612cd
- Size of remote file:
- 4.98 kB
- SHA256:
- 91df0b27fc9634a9e24f2b7a5d9b7254a9387fb29a19a6d86c83a1bef7e553f4
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