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:
- be08fd1ba7a2fdb4d13770ec7b00c96e658ef6236ca16d028708cdf35b4c5468
- Size of remote file:
- 687 MB
- SHA256:
- f36bf72c9edf93ca85448bea99a1a906c72193098b181f97ba43a4e88d5932c7
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