Instructions to use codeworkz/layoutlmv3-doclaynet-2kdocument-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeworkz/layoutlmv3-doclaynet-2kdocument-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeworkz/layoutlmv3-doclaynet-2kdocument-classification")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("codeworkz/layoutlmv3-doclaynet-2kdocument-classification") model = AutoModelForSequenceClassification.from_pretrained("codeworkz/layoutlmv3-doclaynet-2kdocument-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c19741b3baab43508938d0a89a764105779188cee9a6260f3b690e95eb0c509f
- Size of remote file:
- 504 MB
- SHA256:
- 8bfa547dd4685ac65f7e0757559bec9f206d8839b3ec4b000fa0b80658965886
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