Instructions to use hslee/layoutlmv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hslee/layoutlmv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hslee/layoutlmv3")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hslee/layoutlmv3") model = AutoModelForTokenClassification.from_pretrained("hslee/layoutlmv3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c8f1756dd9028419bd7fa663072eb4a10ea736e5dd80acb7c192bc9a7148206
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size 503777708
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