Instructions to use kike/table_structured_recognition_fito with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kike/table_structured_recognition_fito with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="kike/table_structured_recognition_fito")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("kike/table_structured_recognition_fito") model = AutoModelForObjectDetection.from_pretrained("kike/table_structured_recognition_fito") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d5b8a13bb469571f92234b0cb7383e51944e7e25e82c37708e5b1641cc986bb
- Size of remote file:
- 115 MB
- SHA256:
- 20c8788af45acd9d1926b4b416d5e45c598caf2cf1d43c85850693810aab4f06
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