Instructions to use Saed2023/layoutlmv3-finetuned-generated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saed2023/layoutlmv3-finetuned-generated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Saed2023/layoutlmv3-finetuned-generated")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Saed2023/layoutlmv3-finetuned-generated") model = AutoModelForTokenClassification.from_pretrained("Saed2023/layoutlmv3-finetuned-generated", device_map="auto") - 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 sha256:131b1a668e7e30819a3b80826ad51ff94bd6bf9eecd7d039f658535207580bfb
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size 503737720
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