Instructions to use zaval/layoutlm-sroie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zaval/layoutlm-sroie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zaval/layoutlm-sroie")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zaval/layoutlm-sroie") model = AutoModelForTokenClassification.from_pretrained("zaval/layoutlm-sroie") - 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 sha256:80571d39cdeb274c41756eb7b836ce687cf7be0e89a3109d387aa1d5047db0a4
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size 450564364
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