Instructions to use fidhaph/finetuned-table_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fidhaph/finetuned-table_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="fidhaph/finetuned-table_3")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("fidhaph/finetuned-table_3") model = AutoModelForObjectDetection.from_pretrained("fidhaph/finetuned-table_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5788a84fd4dcaf9e80e68e0169a2fc9ba7d151d3b320e57aee4e2f6d7053310a
- Size of remote file:
- 115 MB
- SHA256:
- c3294c27952e8dcb40806d10d381f10315d878c6444f8a733e2dc52c5aaff640
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