Instructions to use thanhap03/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhap03/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thanhap03/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thanhap03/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("thanhap03/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f92667ca9027e197170122fabb031af60335bb6e5ca9e98a23519cd95a8322
- Size of remote file:
- 451 MB
- SHA256:
- 989c178bfc1c5b1c738b12b456b7dd43af8ce022886f551088ca4f9a6641bc56
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