Instructions to use moetezsa/table_detection_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moetezsa/table_detection_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="moetezsa/table_detection_v1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("moetezsa/table_detection_v1") model = AutoModelForObjectDetection.from_pretrained("moetezsa/table_detection_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db0ed6b58e63c0b8904fd0cd1162627f4228963211d0db0890c491853829ac91
- Size of remote file:
- 115 MB
- SHA256:
- 278f4d5b42dca58889c0e290532c4a0f922635675bdbded04c05b1c2f171715f
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