Instructions to use mckabue/Layoutlmv3-finetuned-DocLayNet-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mckabue/Layoutlmv3-finetuned-DocLayNet-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mckabue/Layoutlmv3-finetuned-DocLayNet-test")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("mckabue/Layoutlmv3-finetuned-DocLayNet-test") model = AutoModelForTokenClassification.from_pretrained("mckabue/Layoutlmv3-finetuned-DocLayNet-test") - 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 sha256:520944fcdc35c8be55b1f99be727b4ffb9ca7f3042e85e4567cc01c5df2ced95
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size 503730436
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