Instructions to use sg485/table_transformer-orderstack-fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sg485/table_transformer-orderstack-fine_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="sg485/table_transformer-orderstack-fine_tuned")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("sg485/table_transformer-orderstack-fine_tuned") model = AutoModel.from_pretrained("sg485/table_transformer-orderstack-fine_tuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b34fe8cf069ca3fcc8a6756bee5117e5fbc207a070a7c2ed164a5d8344a32e64
- Size of remote file:
- 115 MB
- SHA256:
- d15dedd949720c26972256d509f537927e352598556c80ac25bf161cc31c05a0
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