Instructions to use Amod/docdenoise-YOLOS-FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amod/docdenoise-YOLOS-FT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Amod/docdenoise-YOLOS-FT")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Amod/docdenoise-YOLOS-FT") model = AutoModelForObjectDetection.from_pretrained("Amod/docdenoise-YOLOS-FT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fde9c8336bc6b827d6bb05c10abd0e056d9429ab652ddfb3d854c6cad71f58c
- Size of remote file:
- 25.9 MB
- SHA256:
- 86f07f2a0400c2d409f5a3adb6bafcfff7092e6ccda2d3ada54113b8a6c59227
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