Instructions to use pedro1111/layout3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedro1111/layout3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pedro1111/layout3")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("pedro1111/layout3") model = AutoModelForTokenClassification.from_pretrained("pedro1111/layout3") - 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 sha256:04078370dea2326246100992a2251e40e328f69aea18d80554916d07d5a3f321
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size 501355532
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