Instructions to use microsoft/table-transformer-structure-recognition-v1.1-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/table-transformer-structure-recognition-v1.1-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="microsoft/table-transformer-structure-recognition-v1.1-all")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("microsoft/table-transformer-structure-recognition-v1.1-all") model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer-structure-recognition-v1.1-all") - Notebooks
- Google Colab
- Kaggle
finetune on custom data
#3
by srv-sh007 - opened
i have fine tuned microsoft/table-transformer-structure-recognition-v1.1-all model on my custom data set but my model performance was very bad, even a single object can't be detected. however the performance of the base model was average. could please suggest me how can i enhance the performance?