Instructions to use fidhaph/detr-finetuned-table_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fidhaph/detr-finetuned-table_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="fidhaph/detr-finetuned-table_3")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("fidhaph/detr-finetuned-table_3") model = AutoModelForObjectDetection.from_pretrained("fidhaph/detr-finetuned-table_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ba656faf7e4093b014efc3f4591c6be31427b21b5e7b0e26f96e59a764fcdf7
- Size of remote file:
- 115 MB
- SHA256:
- 839efea8de639013e531107622feaa73fcae38b8f0fcd191e10a56f86b41e435
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