Instructions to use akar49/deform_detr-crack-I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akar49/deform_detr-crack-I with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="akar49/deform_detr-crack-I")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("akar49/deform_detr-crack-I") model = AutoModelForObjectDetection.from_pretrained("akar49/deform_detr-crack-I", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f483f57a881845d4e1afd48f0a821830da3e9b9bcd58fef376e7c38ade58fd8f
- Size of remote file:
- 3.96 kB
- SHA256:
- 301b814e5793d4f155a1a1c3e38ecc5a61f1fec7fc0f67686873641f04dc6495
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