Instructions to use fidhaph/finetuned-table_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fidhaph/finetuned-table_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="fidhaph/finetuned-table_2")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("fidhaph/finetuned-table_2") model = AutoModelForObjectDetection.from_pretrained("fidhaph/finetuned-table_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dae5648ef35fa8277e24d031b934b4e9373ccef5e81165b2fa479bdc7ef4ce79
- Size of remote file:
- 115 MB
- SHA256:
- 93038f7c1ff676e7c0f91eefafad64e589ebe81ae1714ad6920c5b3bd8f564eb
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