Instructions to use gabehubner/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabehubner/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gabehubner/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gabehubner/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("gabehubner/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a065358d419f0bfecf847622b088f76b53ebeb8a324b2ca8d2ff02e0f791537
- Size of remote file:
- 4.92 kB
- SHA256:
- 5196e2b3f38c62e19cfe9254d19dd03e1d561b2534935be42a3b065d42aaf54b
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