Instructions to use amejri/layoutlmv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amejri/layoutlmv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amejri/layoutlmv3")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("amejri/layoutlmv3") model = AutoModelForTokenClassification.from_pretrained("amejri/layoutlmv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6e37c13a97d71ac8bd19027c88efd4b019ddb631ee22e2011db48593b0065d7
- Size of remote file:
- 504 MB
- SHA256:
- 432a645057072c9657fbf3625839103dcc84c7c9dd3d0d4ebcf381731ed82fb3
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