Instructions to use codeworkz/layoutlmv3-doclaynet-document-classification_snapshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeworkz/layoutlmv3-doclaynet-document-classification_snapshot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codeworkz/layoutlmv3-doclaynet-document-classification_snapshot")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("codeworkz/layoutlmv3-doclaynet-document-classification_snapshot") model = AutoModelForSequenceClassification.from_pretrained("codeworkz/layoutlmv3-doclaynet-document-classification_snapshot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2f7909facc464374627eb43a2eb768d3aa3361018bf3d04d94e73c74f4eff59
- Size of remote file:
- 504 MB
- SHA256:
- 4cd0f500c91d087cbcac8232c675546489701ae4744212a11a848c345f6e46da
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