Instructions to use microsoft/dit-large-finetuned-rvlcdip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/dit-large-finetuned-rvlcdip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/dit-large-finetuned-rvlcdip") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("microsoft/dit-large-finetuned-rvlcdip") model = AutoModelForImageClassification.from_pretrained("microsoft/dit-large-finetuned-rvlcdip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
c305884 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:819c39abe94292bfb9e2992a70053e49968b71563a352f156167b5f024499fac
size 1213532225
|