Instructions to use diah/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diah/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="diah/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("diah/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("diah/layoutlm-funsd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eebcbd3f2572c36455a0fa2d86a5eaf60ba00bbc60de0be8c0437b2b259fa441
- Size of remote file:
- 5.3 kB
- SHA256:
- b599f6ab1263a11195b06cc1c4547b86b1bf1ca1238bfc8fa2048e1487c5d1b4
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