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")# 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
- Xet hash:
- 1a1281da1b3068f3cf6ad8c38854c77fc9052c4d0df03db1c5704c4bf4053ce4
- Size of remote file:
- 372 MB
- SHA256:
- 768863c613164b0c06acc0257e7d74f31afaff3e7cdb6e4257ed9b46487fd835
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