Instructions to use codeworkz/layoutlmv3-doclaynet-5kdocument-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeworkz/layoutlmv3-doclaynet-5kdocument-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeworkz/layoutlmv3-doclaynet-5kdocument-classification")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("codeworkz/layoutlmv3-doclaynet-5kdocument-classification") model = AutoModelForSequenceClassification.from_pretrained("codeworkz/layoutlmv3-doclaynet-5kdocument-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ae10e97d0b7e2914fb38af23cea08ad26693b3a807fc9216f9dcccc3b544d44
- Size of remote file:
- 504 MB
- SHA256:
- fda36a496c1a6a92ae0d9805be9cd4dc7fa77f926abc15e6023fff48735997ee
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