Instructions to use prithivMLmods/Document-Type-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Document-Type-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Document-Type-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Document-Type-Detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Document-Type-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatured1bc44c -
Update README.md
Verified signatureb5b6644 -
Upload folder using huggingface_hub
Verified signature9d8e587 -
Update README.md
Verified signature5d5a1ee -
Update README.md
Verified signature16a8f2a -
Update README.md
Verified signature864b2e4 -
Create README.md
Verified signatureb8ce668
-
Delete README.md
Verified signature36ee611 -
Update README.md
Verified signature1d04c0c -
initial commit
Verified signature3c20247