Instructions to use Log95/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Log95/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Log95/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Log95/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Log95/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6372eace9ea99ddc22316217bfb313f585e153db25837012c7d54c850cd66ba6
- Size of remote file:
- 5.3 kB
- SHA256:
- bb09f904b656f5128af677994d3a6c520fa14a01473aefe9ef0650d3578873f6
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