Instructions to use fidhaph/finetuned-table_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fidhaph/finetuned-table_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="fidhaph/finetuned-table_1")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("fidhaph/finetuned-table_1") model = AutoModelForObjectDetection.from_pretrained("fidhaph/finetuned-table_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ff1439e72784dfbb25448416af304d1f402169e3104ddef6a451dca887f5d5d
- Size of remote file:
- 115 MB
- SHA256:
- d69b02d1fcb672fb13acf7b3cd230d3d3d75658df2700a5591f36baa00302989
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